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Are you passionate about information retrieval, machine learning, and data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact marketing strategies and user growth at Gopuff? Come join the Gopuff Data Science team and #ChangeTheGame.

As a Senior Data Scientist on the Gopuff team, you'll have the opportunity to work on a wide variety of high-impact projects related to marketing, user acquisition, and customer engagement. You'll play a crucial role in developing data-driven solutions to drive growth, optimize marketing campaigns, and enhance the overall user experience. You'll have ownership from prototype to productionalization and the cross-functional support to launch 0-1 systems. Your work will have a significant impact on the future success of Gopuff.

Responsibilities

- Build and enhance machine learning, statistical, and causal models to drive marketing strategies, user acquisition, and customer engagement.

- Develop advanced models and algorithms to optimize marketing campaigns, targeting, and segmentation.

- Collaborate with the marketing and engineering teams to implement data-driven solutions and deploy large-scale systems using cloud-based tech stacks including Snowflake, Databricks, Azure, and Elastic Cloud.

- Generate actionable insights by analyzing complex data sets and providing recommendations to shape the marketing and user growth roadmap.

- Stay up-to-date with the latest developments in machine learning and data science techniques and identify opportunities for their application in marketing and user growth.

Qualifications

- MS or Ph.D. in statistics, mathematics, analytics, computer science, engineering, or another quantitative field.

- 3-5 years of experience in data science with a focus on marketing, user growth, or related areas.

- Hands-on experience in building and deploying models for marketing optimization, user segmentation, or customer engagement in production environments.

- Strong problem-solving skills, algorithm design, and complexity analysis.

- A customer-centric mindset, with the ability to work backward from customers' problems and deliver results that improve the overall user experience.

- Excellent written and verbal communication skills with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.

If you are a self-motivated, results-driven data scientist with a passion for marketing and user growth, we would love to hear from you. Join us in revolutionizing the way Gopuff reaches and engages its customers. Apply now and be part of our dynamic and innovative team!

At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.

And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.

Like what you’re hearing? Then join us on Team Blue.

Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.

Rad AI is the fastest growing radiologist-led AI company on the market. In addition to winning the 2021 award for “Best New Radiology Vendor” from AuntMinnie, Rad AI ended the year by closing a $25M Series A round and being named to the 2021 CB Insights Digital Health 150 - List of Most Innovative Digital Health Startups. Rad AI continued the momentum by being recognized as 2022 CB Insights AI 100 - Most Promising AI Companies.

Why we're hiring for this role:

We’re seeking to add an experienced Senior Machine Learning Scientist and hands on NLP subject matter expert to join our amazing ML team. This person will play a critical role in helping our ML Engineering team and will be instrumental in building out our ML infrastructure, scaling up our models, and cross collaborating with the Software and DevOps Engineers on the needs of our research platform.

This is what you’ll do:

• Assist in the development of SOTA sequence-to-sequence and classification models for reasoning over clinical text
• Read papers and devise experiments with the intent of incorporating new research into our platform 
• Work as peers with our product team by integrating new research into applied projects
• Determine scope of the problem, the best place to apply machine learning, set up labeling tasks if necessary, and evaluate different approaches
• Collaborate with members of our growing ML Team, and advise the Software and DevOps Engineers on the needs of the research

• PhD or Masters in CS or related field preferred, or equivalent experience 
• At least 2 plus years post educational working years of experience preferred
• Experience developing and testing NLP models in a commercial or academic setting
• Experience applying both supervised and unsupervised methods to real world datasets
• Experience with LLM in production systems
• Solid fundamentals in algorithms, math, and probability theory 
• Experience with deep learning frameworks (e.g. PyTorch) and common NLP frameworks such as HuggingFace.
• Extensive programming skills, with a focus on Python

• Experience working at an early stage startup 
• A record of publications regarding Natural Language Processing (NLP)
• Experience with building ML Infrastructure (e.g AWS, Metaflow)
• Experience in a HIPAA compliant environment 
• Experience applying machine learning to health data

Founded in 2018 by the youngest radiologist in US history, Rad AI has seen rapid adoption of its AI platform, and is already in use at 7 of the 10 largest private radiology practices in the US. Rad AI uses large language models and state-of-the-art machine learning / generative AI to streamline repetitive tasks for radiologists, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care. Its first product, Rad AI Omni, saves radiologists an average of 60 minutes per day, and helps achieve up to 20% time savings per report.

Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives. Our team is mission-driven and focused on transparency, inclusion, close collaboration, and building an incredible team. Come and help us make a difference!

Rad AI is the fastest growing radiologist-led AI company on the market. In addition to winning the 2021 award for “Best New Radiology Vendor” from AuntMinnie, Rad AI ended the year by closing a $25M Series A round and being named to the 2021 CB Insights Digital Health 150 - List of Most Innovative Digital Health Startups. Rad AI continued the momentum by being recognized as 2022 CB Insights AI 100 - Most Promising AI Companies.

Why we’re hiring for this role: We’re seeking a Software Engineer to join our team building the future of radiology.  You’ll work on Continuity, a Rad AI product to identify and track recommended follow-ups in radiology reports. This role will work alongside our high-performing cross-functional team of Full Stack Engineers, ML Engineers, and Product Leaders, and various other teams internally and externally to develop this responsive and performant application. 

This is what you’ll do:

• Develop a large-scale single page web application that streamlines follow-up navigators’ work and increases their efficiency and effectiveness.
• Work on a modern Typescript, React front end using GraphQL with Relay.
• Develop the Python, FastAPI backend services including a REST API, NLP model pipeline service, HL7 message processor, and automated communication service.
• Build new features that support our rapidly growing number of customers
• Write code that meets our internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment. 
• Work with Product Management, UX, Customer Success and other stakeholders to iterate on new features and address defects.
• Advocate for improvements to product quality, security, and performance that have a particular impact across your team. 

• 3+ years of industry fullstack engineering experience with single and multi-tenanted environments
• In-depth knowledge of TypeScript and React, Python and FastAPI, or equivalent modern languages/frameworks
• Knowledge of relational and document based databases, as well as other large scale data storage paradigms
• Knowledge of modern web architecture and best practices
• Fluency with HTML, CSS, responsive design, and other related web technologies 
• Familiarity with cross-browser compatibility, accessibility, browser networking, and browser APIs such as IndexedDB and WebSockets.
• Experience with unit and integration testing
• Experience working on a distributed team and strong version control skills using git
• Experience with performance and optimization problems, particularly at large scale, and a demonstrated ability to diagnose and prevent these problems

• Experience with Typescript and React
• Experience with Python, FastAPI, Starlette, SQLAlchemy
• Experience with GraphQL, especially React Relay and/or Strawberry GraphQL
• Experience with PostgreSQL
• Experience with 3rd-party integrations such as Auth0, Twilio, Amplitude
• Experience working at an early-stage startup
• Experience in a HIPAA-compliant environment, especially with FHIR and HL7
• Experience working on machine learning

We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, even if not an exact match, please still consider applying. Diversity of experience and skills combined with passion is a key to innovation and excellence; therefore, we encourage people from all backgrounds to apply to our positions.

Founded in 2018 by the youngest radiologist in US history, Rad AI has seen rapid adoption of its AI platform, and is already in use at 7 of the 10 largest private radiology practices in the US. Rad AI uses large language models and state-of-the-art machine learning / generative AI to streamline repetitive tasks for radiologists, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care. Its first product, Rad AI Omni, saves radiologists an average of 60 minutes per day, and helps achieve up to 20% time savings per report.

Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives. Our team is mission-driven and focused on transparency, inclusion, close collaboration, and building an incredible team. Come and help us make a difference!

Rad AI is the fastest growing radiologist-led AI company on the market. In addition to winning the 2021 award for “Best New Radiology Vendor” from AuntMinnie, Rad AI ended the year by closing a $25M Series A round and being named to the 2021 CB Insights Digital Health 150 - List of Most Innovative Digital Health Startups. Rad AI continued the momentum by being recognized as 2022 CB Insights AI 100 - Most Promising AI Companies.

Why we’re hiring for this role: We’re seeking multiple Senior Software Engineers with full stack (any mix of front end, backend, and database) experience to join our team building the future of radiology. You’ll work on Continuity or a new Rad AI product. Using NLP, Continuity identifies and tracks recommended follow-ups in radiology reports which significantly increases follow-up compliance, helping save patients’ lives. Our new product uses AI to improve radiologists' efficiency and reduce burnout. This role will work alongside our high-performing cross-functional team of Full Stack Engineers, ML Engineers, and Product Leaders, and various other teams internally and externally to develop this responsive and performant application. 

This is what you’ll do:

• Develop on large-scale progressive and single page web applications that streamline user workflows and increase their efficiency and effectiveness.
• Work on a modern Typescript, React front end using technologies including WebSockets, and GraphQL with Relay and features local data storage, networking to multiple backend endpoints, complex user interactions and input methods, and SDK support for client extensions.
• Develop our Python, FastAPI backend services including a REST API, NLP model pipeline service, messaging service
• Build new features that support our rapidly growing number of customers
• Write code that meets our internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment. 
• Work with Product Management, UX, Customer Success and other stakeholders to iterate on new features and address defects.
• Advocate for improvements to product quality, security, and performance that have a particular impact across your team.

• 5+ years of industry fullstack engineering experience with single and multi-tenanted environmentsIn-depth knowledge of TypeScript and React, Python and FastAPI, or equivalent modern languages/frameworks
• Knowledge of relational and document based databases, as well as other large scale data storage paradigms
• Knowledge of modern web architecture and best practices
• Fluency with HTML, CSS, responsive design, and other related web technologies
• Familiarity with cross-browser compatibility, accessibility, browser networking, and browser APIs such as IndexedDB and WebSockets.
• Experience with unit and integration testing
• Experience working on a distributed team and strong version control skills using git
• Experience with performance and optimization problems, particularly at large scale, and a demonstrated ability to diagnose and prevent these problems

• Experience with Typescript and React
• Experience with Python, FastAPI, Starlette, SQLAlchemy
• Experience with GraphQL, especially React Relay and/or Strawberry GraphQL
• Experience with PostgreSQL
• Experience with 3rd-party integrations such as Auth0, Twilio, Amplitude
• Experience working at an early-stage startup
• Experience in a HIPAA-compliant environment, especially with FHIR and HL7
• Experience working on machine learning

We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, even if not an exact match, please still consider applying. Diversity of experience and skills combined with passion is a key to innovation and excellence; therefore, we encourage people from all backgrounds to apply to our positions.

Founded in 2018 by the youngest radiologist in US history, Rad AI has seen rapid adoption of its AI platform, and is already in use at 7 of the 10 largest private radiology practices in the US. Rad AI uses large language models and state-of-the-art machine learning / generative AI to streamline repetitive tasks for radiologists, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care. Its first product, Rad AI Omni, saves radiologists an average of 60 minutes per day, and helps achieve up to 20% time savings per report.

Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives. Our team is mission-driven and focused on transparency, inclusion, close collaboration, and building an incredible team. Come and help us make a difference!

Cullinan Oncology is dedicated to creating new standards of care for patients with cancer.

We innovate without borders to find the most promising clinic-ready cancer therapies, whether from our own discovery efforts or through exceptional engagement with our academic and industry partners.

Anchored in a deep understanding of immuno-oncology and translational cancer medicine, we leverage our scientific excellence in small molecules and biologics to create differentiated ideas, identify unique targets, and select the optimal modality to develop transformative therapeutics across cancer indications.

Powered by our novel research model, we push conventional boundaries from candidate selection to cancer therapeutic, applying rigorous early experimentation to fast-track only the most promising assets to the clinic and ultimately commercialization.

As a result, our diversified pipeline is strategically built with assets that activate the immune system or inhibit key oncogenic drivers across a wide range of modalities, each with the potential to be the best or first in their class.

Our people possess deep scientific expertise, seek innovation openly, and exercise creativity and urgency to deliver on our promise to bring new therapeutic solutions to patients with cancer.

Summary:

The Director, Clinical Research Scientist participates in the development, strategic planning, and execution of clinical development programs in collaboration with other members of the clinical development team, including medical, clinical operations, translational sciences, and regulatory affairs.  The Clinical Research Scientist will play a substantial role in the development of clinical and regulatory documents, the review of scientific and clinical data, and the communication of data both within the company and to outside scientific and medical audiences.  

Position Responsibilities:

• Clinical Study Planning and Execution
• Assists the study responsible physician in formulating clinical development plans and study designs.
• Participates in protocol training for site initiation and investigator meetings in collaboration with clinical operations.
• Reviews and adjudicates study subject eligibility, protocol deviations, and responds to specific site protocol questions working closely with the medical monitor.
• Identifies scientific and/or clinical quality issues to discuss with investigator and study sites and escalates as appropriate to the quality team to ensure compliance with GCP.

• Clinical Document Development
• Leads development of clinical study protocols, investigational brochure
• Assists in the preparation of clinical content for regulatory submissions/documents.
• Participates in publication planning
• Participates and/or leads the development of internal and external presentations/publications (manuscripts, posters, etc.) of clinical study data

• Clinical Data Review and Analysis
• Works closely with biostatisticians and programmers to develop case report forms and to plan analyses of clinical data
• Performs ongoing clinical data review and critical analysis of study data, partnering with the medical monitor and data management
• Provides clinical science-related contributions to the development of case report forms (CRFs), CRF completion guidelines, and statistical analysis plans

• Advanced degree in life sciences and/or health-related field, with 5+ years of drug development experience or bachelor’s level education with relevant working experience will also be considered
• Basic knowledge and understanding of the medical oncology and/or hematology therapeutic area
• Strong understanding of Good Clinical Practice, the drug development process, and the design and conduct of clinical studies
• Excellent written and verbal communication skills
• Ability to interact with staff at all levels to coordinate and execute study activities in a face-paced small biotech environment

Cullinan Oncology is proud to be an Equal Opportunity Employer. We are committed to creating an inclusive and diverse environment for all employees and applicants without regard to a person’s race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law.

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Welocalize’s fastest-growing service line is AI Data Services. We are partnering with clients across diverse industries to help them create, collect, annotate, or QA their training data to optimize their AI and machine learning applications. Our AI Data Services encompass a wide range of solutions, including data generation, labeling, validation, and augmentation, enabling our clients to build, deploy, and improve their AI models effectively. By leveraging our expertise in natural language processing, computer vision, and other AI-related technologies, we empower clients to harness the full potential of AI and drive significant business growth.

Main Purpose

• The AI Projects Leader will lead our growing team of AI Projects Specialists, AI Deployment Engineers, and Data Services Specialists. You will focus on creating and optimizing processes, driving innovation in novel and ambiguous environments, nurturing the professional growth of your direct reports, and engaging with clients to ensure outstanding customer satisfaction. You will apply your knowledge of AI, machine learning, and project management methodologies to deliver deep analytical solutions and manage the development of client-facing programs and internal processes.

• Lead, mentor, and develop a globally distributed team of AI Projects Specialists, AI Deployment Engineers, and Data Services Specialists, focusing on their professional growth, skills development, and performance management.
• Develop, implement, and continuously refine project management processes, methodologies, and best practices for AI data services projects and related solutions.
• Collaborate with cross-functional teams to identify and address challenges, manage risks, and resolve issues in a timely manner, with a focus on fostering a culture of customer centricity, innovation and continuous improvement.
• Ensure successful execution and delivery of AI data services projects and deployment solutions, meeting or exceeding client expectations and quality standards.
• Establish strong relationships with clients, stakeholders, and internal teams to ensure seamless communication and alignment across all project phases.
• Be involved in many aspects of model design and evaluation tasks, providing feedback on AI and machine learning approaches and working with R&D on developing and improving model performance.
• Drive customer engagement and satisfaction, ensuring that client needs are met, addressing any concerns in a proactive manner, and creating customer evangelists for Welocalize’s services.
• Report on the performance of AI data services projects and programs, demonstrating the team's business impact to senior leaders.

• Bachelor's degree in Computational Linguistics, Computer Science, Engineering, or adjacent field with a minimum of 5 years of related experience or a Master's degree.
• Minimum 2 years of technical management experience in AI deployments, machine learning, or related technology fields.
• Minimum 5 years of experience in AI data services, project management, and customer engagement.
• Proven track record in creating and implementing effective project management processes and methodologies in fast-paced, ambiguous environments.
• Strong experience in mentoring, developing, and managing high-performing teams, with a focus on nurturing talent and fostering professional growth in technical roles.
• Exceptional problem-solving, decision-making, and critical-thinking skills, with the ability to navigate complex situations and drive successful outcomes.
• Excellent interpersonal, communication, and relationship-building skills, with the ability to collaborate effectively with clients, stakeholders, and internal teams.
• A strong passion for AI and machine learning technologies, with a demonstrated interest in staying up-to-date with the latest industry trends and advancements.
• General business acumen and demonstrated focus on financial impact and customer satisfaction.
• Experience working in a private equity-backed organization is a plus.

List of Benefits:

- Medical Insurance

- Telemedicine Benefit

- Dental Insurance

- Vision Insurance

- FSA and HSA

- Life and Disability Insurance

- Vacation Time: 15 days per year (increases with years of service)

- Sick Time: 6 days per year

- Paid Holidays: 8 days per year

- Employee Assistance Program

- 401 (k) Retirement Plan

- Paid Maternity Leave

- Paid Adoption Leave

Welocalize carefully considers a wide range of compensation variables including geographic location, job scope and complexity, skill level, experience, or industry-specific knowledge.  Compensation will be mutually agreed upon at offer and may be above the posted range due to compensation variables.

Salary Range: $125K-$160K

Lime is the world's largest shared electric vehicle company. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered 400+ million rides in 250+ cities on 5 continents, replacing an estimated 100+ million car trips. Named a Time 100 Most Influential Company and Fast Company Brand That Matters, we achieved a fully profitable year in 2022, becoming the first in our industry to reach this milestone.

We are looking for an experienced Engineering Manager to lead our fast-growing infrastructure and security team. 

Lime’s global presence and loyal customer-base means our systems are critical transportation infrastructure for many large cities worldwide. Lime systems are technically diverse and technically deep, as is the team that builds them. Our systems range from application back-ends, to firmware, IoT and cloud infrastructure. Our small but mighty team is tackling challenges from communication infrastructure to applied AI, security and developer experience, and we are growing. Although our systems must scale to serve the needs of our customers globally, at Lime we “Think Like a Local”, meaning our systems must conform to a variety of regional infrastructure, regulations, requirements and cultural norms. Lime is making transportation greener, and our systems organization is solving rewarding and challenging problems every day to achieve our mission.

As the Engineering Manager, you will bring a breadth of experience that supports and grows the engineering muscle of a team taking on diverse technical challenges. You will take an engineering-first approach, meaning continuous improvement, systems and structure over heroics, with an eye towards ever increasing reliability and ever lowering cost/risk of continuous innovation. Ideal candidates are curious and able to dive deep when the situation demands it, and it is also necessary to backfill gaps in your expertise so that the team has the technical support it needs to change the way we move about our favorite cities.

What You'll Do:

• Grow and scale the team by attracting, hiring and retaining top talent
• Define the long-term technical roadmap and strategic vision, alongside key stakeholders
• Build foundational systems and platforms to accelerate product innovation
• Provide hands-on technical guidance and contributions to areas such as cloud infra, security, developer experience and IoT platform.
• Optimize and develop effective processes to ensure the right prioritization effective delivery against goals
• Collaborate with XFN and key stakeholders both directly and indirectly 
• Contribute to shaping overall engineering culture at the company

• At least 8 years of experience in software engineering, with a focus on cloud infrastructure, developer experience, security or backend development.
• At least 3 years of experience in managing high performing teams of engineers.
• Strong knowledge of cloud infrastructure technologies (AWS, GCP, Azure, etc.).
• Expertise in security best practices and standards (SOC 2, ISO 27001, NIST, etc.).
• Excellent problem-solving skills and experience working with large-scale distributed systems.
• Owner’s mindset with strong execution. Have the passion and drive to apply engineering principles to solve complex, vague and sometimes urgent business problems.
• Experience in partnering with other leads from engineering, product, operations and compliance to craft roadmaps and measures of success.
• Excellent communication and effective prioritization skills in working with competing priorities.

The anticipated salary range for this position is $180,000.00 - $241,000.00. Equity and benefits may be provided as part of the compensation package, depending on the position offered. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's skills, experience and other qualifications as well as the candidate's location of residence. In addition to base salary, some roles may be eligible for a variable bonus based on a combination of company performance, employee performance, and management discretion.

#LI-Remote

#LI-HS1

Why Lime? 

When you join Lime, you join a global community of smart, caring, talented individuals working together to deliver world-changing results; striving to create an experience that enables Limers to do their best work. Here are some ways we support and invest in our team: 

Competitive salaries, performance-based annual bonus and pre-IPO equity

Health and wellness offerings for all team members starting day one including access to top-tier fitness and mindfulness apps

Flexible vacation policies with ample paid holidays tailored to country of residence

Fully-paid leave following the birth or adoption of a child and financial, medical and educational support for Limers pursuing parenthood

Support for retirement and financial goals with unlimited access to financial advisors

Unlimited, complimentary use of our vehicles in hundreds of cities around the world

Professional growth opportunities through quarterly learning days and top-tier tools

Opportunities to connect across teams and locations to network, socialize and volunteer

Culture of belonging with Employee Resource Groups that engage and promote cultural awareness and DEI training across all functions

Consistent recognition of great work through meaningful rewards and career advancements

Benefits and perks vary depending on the nature of your employment and country of residence. Terms and conditions may apply.

If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page.

Lime is an Equal Opportunity Employer, but that’s just the start. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to hiring and developing the most talented and globally diverse team – which includes individuals with different backgrounds, abilities, identities and experiences. 

Rad AI is the fastest growing radiologist-led AI company on the market. In addition to winning the 2021 award for “Best New Radiology Vendor” from AuntMinnie, Rad AI ended the year by closing a $25M Series A round and being named to the 2021 CB Insights Digital Health 150 - List of Most Innovative Digital Health Startups. Rad AI continued the momentum by being recognized as 2022 CB Insights AI 100 - Most Promising AI Companies.

Why we’re hiring for this role:

We’re seeking a Senior Engineer to join our team building the future of radiology.  You’ll work on a new Rad AI product, a modern Progressive web application that uses AI to improve radiologists' efficiency and reduce burnout. This role will work alongside our high-performing cross-functional team of Full Stack Engineers, ML Engineers, and Product Leaders, and various other teams internally and externally to develop this performant application.

This is what you’ll do:

• Develop the Python backend that provides REST and WebSocket APIs
• Interface with and extend the Typescript Progressive Web Application (PWA) to implement new functionality end-to-end
• Build code that meets our internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment
• Work with Product Management and other stakeholders (Backend, Platform, Security, etc.) to iterate on new features and address defects
• Advocate for improvements to product quality, security, and performance that have a particular impact across your team
• Experience with performance and optimization problems, particularly at large scale, and a demonstrated ability to diagnose and prevent these problems

• 5+ years of industry backend engineering experience, possibly including backend architect development with single and multi-tenanted environments
• In-depth knowledge of Python and modern frameworks like FastAPI, Flask, Django, or Starlette
• Strong database skills, particularly PostgreSQL
• Experience with unit and integration testing
• Experience working on a distributed team and strong version control skills using git

• Experience with Typescript and React
• Experience working at an early-stage startup 
• Experience in a HIPAA-compliant environment, especially with FHIR and HL7
• Experience working on machine learning

Founded in 2018 by the youngest radiologist in US history, Rad AI has seen rapid adoption of its AI platform, and is already in use at 7 of the 10 largest private radiology practices in the US. Rad AI uses large language models and state-of-the-art machine learning / generative AI to streamline repetitive tasks for radiologists, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care. Its first product, Rad AI Omni, saves radiologists an average of 60 minutes per day, and helps achieve up to 20% time savings per report.

Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives. Our team is mission-driven and focused on transparency, inclusion, close collaboration, and building an incredible team. Come and help us make a difference!

FourthBrain educates aspiring Machine Learning engineers on the technical and practical skills required to provide immediate value to an AI product development or R&D team.  Our programs emphasize open collaboration and communication, and our unique approach to cohort-based learning is aimed at helping students achieve their personal career goals.

Our Instructional Team includes several roles and responsibilities, and you may work in one area or several, depending on your background, expertise, and interests. You will work closely with the Director of Product at FourthBrain to leverage their technical skills in ML to manage a cohort of students in a part-time ML training program. Your experience in the AI industry, ability to communicate, technical coding skills, will all be critical for this role. Experience in education is a plus but not strictly required.

We offer programs in Machine Learning Engineering and MLOps

What You May Be Doing:

• Deliver live class session(s) for a total of 5-6 hours each week. These sessions will be on the weekends or evenings (schedule is variable by cohort, but consistent throughout the entire program)
• Provide feedback to students on their assignments and projects, either asynchronously or in calls/meetings
• Manage classroom tools and environments
• Develop student assignments
• Develop teaching materials like slides, code samples, discussion prompts, etc.
• Hold office hours (60-90 mins) a week, which could be on evenings and weekends, to assist students with their weekly work

• Professional experience in Machine Learning, Data Science, Artificial Intelligence, and/or MLOps
• Excellent written and verbal communication skills
• Interest in student engagement, motivation, and teaching

• Previous experience as an instructor or lecturer in the areas of AI, machine learning, data science, robotics or similar
• Academic experience in these areas is nice but not required
• Experience with instructional design best practices as well as experience designing and teaching technical courses

At AI Fund and FourthBrain, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. AI Fund and FourthBrain believe that diversity and inclusion among our employees is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.

About AI Fund:FourthBrain is backed by AI Fund, a venture studio that harnesses the use of artificial intelligence to create innovative solutions for the big challenges of today. With the collective aspirations of our co-founders, we build companies from inception to market launch. We innovate, ideate, and validate to address some of the most pressing issues in human capital, healthcare, wellness, and other traditional industries. Founded in 2017 by Dr. Andrew Ng, the $176 million-dollar funded venture studio is backed by top-tier VC firms and investors, along with the AI Fund teams’ combined experiences as AI pioneers, entrepreneurs, venture capitalists, and operators.

Agiloft was named a Leader in the 2022 Gartner Magic Quadrant for Contract Life Cycle Management for the third year in a row. Contract Lifecycle Management (CLM) is one of the fastest-growing areas of enterprise sales, with a TAM projected to climb from $2B to $7B in the next 5 years. 

The Agiloft Contract Lifecycle Management platform has won dozens of awards, including the Editor's Choice award from PC Mag, for the past five years in a row. 

Agiloft has a highly differentiated value proposition which is uniquely appealing to enterprises: pre-built applications with a deeply configurable, no-code platform for integrated Business Process Management throughout an organization.

Agiloft is pioneering the applied use of Artificial Intelligence to enable next-generation business commerce at organizations ranging from small enterprises to U.S. government agencies and Fortune 100 companies. 

Additionally, 99% of employees who commented on Glassdoor would recommend Agiloft to a friend.

Position Overview

The AI/ML Director will lead an interdisciplinary team of Machine Learning Engineers, Data Scientists, and Product/UX Designers in R&D and delivery of core AI/ML assets in our CLM software-as-a-service platform. The AI/ML Director will lead a team to build training data sets, data pipelines, and processes for model training, testing and analysis. This leader will also be responsible for the overall agile delivery and success of high impact end-to-end solutions built on the AI/ML core assets.

You will work closely with product engineering, QA and DevOps teams to coordinate delivery of product-ready code to customers. You will collaborate with customer-facing stakeholders across the organization (product, marketing and professional services) to inform your input to the AI/ML strategy and roadmap. You will proactively gather requirements and feedback from stakeholders that will drive your research priorities and continuous improvement of deliverables. The AI/ML Lead reports directly to the Chief Technology Officer. Using your expertise in applying state-of-the-art AI/ML models and techniques, you will research, select, build, tune and maintain ML models and related assets.

Job Responsibilities

• Lead the development of AI/ML solutions for core use cases including NLP search, named entity recognition, and generative AI
• Identify new ways of applying AI/ML to positively impact the user experience and delight customers
• Define and communicate the strategy, roadmap, goals, tasks and priorities to the AI/ML Engineering team and be accountable for team results
• Encourage collaboration and facilitate healthy working relationships between team members and with stakeholders
• Gather business requirements and stakeholder expectations, and translate them into a well-described and manageable strategy, roadmap and set of deliverables
• Collaborate with AI/ML engineers, application development engineers, legal knowledge engineers and QA personnel to support AI/ML model development and testing
• Ensure the AI/ML tools and methods used in projects are robust and of the highest quality
• Champion and foster the application of AI/ML in the company through presenting, teaching and coaching
• Other duties as assigned

• 5-7 years of experience leading machine learning R&D
• 3-5 years of experience leading development of NLP commercial solutions
• B.Sci Degree (advanced degree preferred) in AI, Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field
• Strong foundational knowledge of AI/ML, NLP, neural networks, large language models, transformer models, generative AI, named entity recognition.
• Expert level proficiency in AI/ML tools and languages, (e.g., Python, R, etc.)
• Experience building, training and using AI models used in commercial software products
• Able to translate business needs into strategy, research projects, technical requirements, and product engineering specifications
• Authoritative knowledge and ability to teach others about state-of-the-art in AI/ML models
• Deep experience with AI open-source ecosystem (e.g., Hugging Face) – options available, strengths and weaknesses, licensing
• Experience with selecting, curating and maintaining training data corpuses
• Understanding of training data provenance
• Understanding of computer security and data privacy principles and best practices
• Understanding of operational performance, system resource requirements and limits

• Contributor to AI open source ecosystem
• Experience with OCR services and techniques
• Experience with and certifications in commercial cloud services (e.g., AWS Sagemaker)
• Experience with data privacy (e.g., GDPR, PII) and working in a security compliant environment (e.g., SOC2, ISO27001)
• Experience with Agile/Scrum development process
• Experience in a SaaS product company
• Experience presenting AI/ML topics in an academic or professional arena
• Experience representing and explaining technical topics clearly to non-technical stakeholders
• Understanding of commercial legal contract concepts, terms, entities, clauses and semantics      

Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All employment decisions at Agiloft are based on business needs, job requirements, and individual qualifications without regard to race, color, religion or belief, national or social ethnic origin, sex, age, sexual orientation, gender identity and/or expression, parental status, marital status, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. If you have a need that requires accommodation during the recruiting process, please let us know by contacting Director, Talent Acquisition, Brad Toothman at brad.toothman@agiloft.com.

Applicants from underrepresented groups such as minorities, veterans, or individuals with disabilities encouraged to apply.

Rad AI is the fastest growing radiologist-led AI company. In addition to winning the 2021 award for “Best New Radiology Vendor” from AuntMinnie, Rad AI ended 2021 by closing a $25M Series A round of investment and being named to the 2021 CB Insights Digital Health 150 - List of Most Innovative Digital Health Startups. Rad AI continued the momentum by being recognized as 2022 CB Insights AI 100 - Most Promising AI Companies.

Founded in 2018 by the youngest radiologist in US history, Rad AI has seen rapid adoption of its AI platform, and is already in use at 7 of the 10 largest private radiology practices in the US. Rad AI uses large language models and state-of-the-art machine learning / generative AI to streamline repetitive tasks for radiologists, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care. Its first product, Rad AI Omni, saves radiologists an average of 60 minutes per day, and helps achieve up to 20% time savings per report.

Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives!

Not Seeing an Open Role for You?

• We are continually seeking, motivated, optimistic professionals who can be a strong addition to our team and would love to hear about what you want to do and how it will contribute to Rad AI's mission. Include a resume and tell us about yourself, what you've done in the past, and what you want to do next and we'll reach out if there's a match in our hiring plan!

Thank you for your interest. We look forward to hearing from you.

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Rad AI is the fastest growing radiologist-led AI company. In addition to winning the 2021 award for “Best New Radiology Vendor” from AuntMinnie, Rad AI ended 2021 by closing a $25M Series A round of investment and being named to the 2021 CB Insights Digital Health 150 - List of Most Innovative Digital Health Startups. Rad AI continued the momentum by being recognized as 2022 CB Insights AI 100 - Most Promising AI Companies.

Founded in 2018 by the youngest radiologist in US history, Rad AI has seen rapid adoption of its AI platform, and is already in use at 7 of the 10 largest private radiology practices in the US. Rad AI uses large language models and state-of-the-art machine learning / generative AI to streamline repetitive tasks for radiologists, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care. Its first product, Rad AI Omni, saves radiologists an average of 60 minutes per day, and helps achieve up to 20% time savings per report.

Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives!

Why we're hiring for this role:

Here at Rad AI, we’re focused on transparency, inclusion, close collaboration, and building an incredible team. As part of our continual growth, we are seeking an experienced Customer Success Manager to come on board and join our small but growing CSM team to deliver unmatched service and attention to our quickly growing customer base of radiology groups and hospital systems.

This is what you'll do:

• Serve as a trusted advisor to Rad AI’s customers through the entire post-sale lifecycle including onboarding, product adoption, and renewal
• Develop and maintain customer relationships across our radiology partners. Proactively manage the customer relationships through regularly scheduled check-in meetings to determine product usage and customer feedback
• Become the trusted partner for the customer on use-case and product functionality. Represent the voice of the customer to our Product and Machine Learning teams
• Ensure a smooth onboarding experience for new radiology partners by engaging and educating IT, executive leadership, and radiologists
• Help customers maximize the value of their Rad AI subscription by  guiding them to adoption and expansion strategies tailored to their practice
• Monitor customer accounts to ensure fast response to customer queries and identify opportunities for continuous improvement
• Drive retention and growth among our customers by understanding their business needs and demonstrating Rad AI products’ value
• Take an active role in building out a world class customer success organization that aims to exceed customer expectations with attentive, responsive, and knowledgeable service

• 2 plus years of relevant customer success, project management, professional services, or similar client facing experience, preferably within a healthcare environment
• Excellent people/relationship management, coaching, and communication skills with the ability to influence others
• Strong project management and organizational skills to prioritize competing priorities, deliver outcomes on a timeline, and build out documentation
• Practical working knowledge of SaaS solutions, implementations, and technical concepts
• Eagerness to continuously learn, adapt, improve, and help others do so in a fast paced, ever changing environment
• Ability to build and maintain relationships with all functions and areas of the company to share in challenges and successes, and work collaboratively towards common goals

• Bachelor’s degree or above 
• Growth stage startup experience
• Prior professional consulting or healthcare software implementation experience
• Prior experience with AI/machine learning products
• Availability to work Eastern or Central time zone business hours

Thank you for your interest. We look forward to hearing from you.

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Rad AI is the fastest growing radiologist-led AI company. In addition to winning the 2021 award for “Best New Radiology Vendor” from AuntMinnie, Rad AI ended 2021 by closing a $25M Series A round of investment and being named to the 2021 CB Insights Digital Health 150 - List of Most Innovative Digital Health Startups. Rad AI continued the momentum by being recognized as 2022 CB Insights AI 100 - Most Promising AI Companies.

Founded in 2018 by the youngest radiologist in US history, Rad AI has seen rapid adoption of its AI platform, and is already in use at 7 of the 10 largest private radiology practices in the US. Rad AI uses large language models and state-of-the-art machine learning / generative AI to streamline repetitive tasks for radiologists, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care. Its first product, Rad AI Omni, saves radiologists an average of 60 minutes per day, and helps achieve up to 20% time savings per report.

Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives!

Why we're hiring for this role:

We are seeking an experienced healthcare related sales professional to join our team and drive sales of our solutions to hospitals and health systems. If you are an experienced, self-driven sales professional seeking to be part of a hyper growing company which is making critical patient and physician impact, reach out today!

This is what you'll do:

• Own the sales process for a defined geography with a focus on finalizing new partnerships, from initial prospecting to contract closure. 
• Work collaboratively with our customer success colleagues to ensure successful deployments and expansion of our partnerships.
• Develop relationships with C-Level executives and decision makers (physician leaders, IT staff, RIS/PACS administrators, radiology directors, etc)
• Meet or exceed the annual revenue quota
• Develop and maintain a strong sales pipeline with more than enough opportunities to achieve your quota
• Develop relationships both on the clinical and operational side of target accounts in order to properly present and sell meaningful solutions
• Execute post contract closure activities leveraging developed relationships
• Manage a pipeline including account targeting, deal qualification and prioritization, and accurate forecasting
• Develop new relationships within your account base of radiologists and educate them on Rad AI’s impact to clinicians and patients alike
• Build and maintain a deep and comprehensive familiarity of Rad AI’s products and development roadmap

• 10+ years of direct sales experience, with 3+ years of full cycle healthcare technology sales experience within healthcare
• Demonstrated track record of successful sales and reaching or exceeding KPIs
• Action-oriented, fast-moving and intrinsically motivated
• A strong focus on delivering results and outcomes
• A collaborative team player who fits well in our "one team" culture.

• Prior SaaS sales experience at a growing startup company
• Experience selling workflow and software solutions to hospitals and health systems, preferably to senior clinical and operational decision makers
• AI software sales experience (healthcare)

Thank you for your interest. We look forward to hearing from you.

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Brief Description of Sunnova

Sunnova (NYSE: NOVA) is revolutionizing the energy industry as a leading Energy as a Service (EaaS) provider of solar, battery storage, EV charging, and other energy solutions with customers spanning the U.S. and its territories. Founded in 2012, our goal is to provide homeowners, businesses, and communities with a better energy service at a better price – making clean, renewable energy more accessible, reliable, and affordable.

At Sunnova, we believe that our success comes from the diversity and creativity of our people. Our team is made up of forward-thinkers who are passionate about changing the energy industry for the better, and we're looking for like-minded individuals to join us. We encourage our people to push beyond traditional limits and explore new horizons – because only then can we truly transform the world for the better.

If you're excited about being a part of the fastest-growing segment of the energy industry, we want you on our team!

The Data Scientist Position

Sunnova Energy is searching for a Data Scientist to be responsible for designing and implementing innovative data solutions within our fleet management program which enhance Sunnova’s ability to offer industry leading solar systems and energy solutions to customers. The candidate will work closely with subject matter across various areas of Sunnova’s business to deliver industry differentiating solutions.

Responsibilities

-Designs, trains, and implements machine learning (supervised and unsupervised) algorithms

-Builds, deploys, and maintains machine learning algorithms, interface endpoints, and back-end data infrastructure in collaboration with scrum teams and oversight technical architects

-Performs data mining, exploration, and analysis

-Designs machine learning and advanced analytics solutions, algorithms, and cloud architectures needed to satisfy product features and functionality defined by product owner and other stakeholders in a production environment

-Understands and develops simulation, optimization, and forecasting algorithms to support advanced analysis, recommendation, and discovery across a fleet of energy systems

-Works in all phases of the software development life cycle including functional analysis, development of technical requirements, technical design, prototyping, coding, testing, deployment, data migration, and support 

-Assists in integrating subsystems such as data pipelines, algorithms, shared catalog, API interfaces into end-user facing products

-Participate in daily scrums, work with Scrum Master and QA Team on projects, and support delivery timelines and priorities

-Organizes and prioritizes individual workload with scrum team through story pointing

-Creates detailed documentation which describes methodology, relevant instructions, and test results

-Finds, analyzes, and fixes bugs and performance problems whenever and wherever they may occur 

-Acts as a subject matter expert for apps and products that the scrum team supports 

-Responsible for designing and presenting solutions to architecture board in IT

-Solves problems independently with limited supervision

Minimum Requirements

-Bachelor's degree or equivalent, preferably in data science, natural sciences or engineering related field

-4-6+ years in data mining and machine learning model development

-Expertise in Python and data science libraries such as NumPy, SciKit-learn, pvlib and pandas

-Familiarity with Machine Learning techniques and concepts, Regression, Classification, Clustering, Artificial Neural Network, or Time Series Forecasting

-Familiarity with Optimization concepts and tools, Mixed integer linear programming, Techno-Economic Analysis, Cplex, or Gurobi.

-Familiar with agile software development practices, test-driven development, and story point estimations

Preferred Qualifications

-Background in a quantitative field, such as statistics, computer science, mathematics, or engineering

-Experience in working with geospatial data and analytics

-Experience with big data processing technologies such as Spark

-Experience with AWS, Kubernetes, Docker and containerization technologies

Working Conditions

-Extended periods of time working at computer workstation 

-Some overtime required 

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

If you are selected for a position, your employment will be contingent upon submission to and successful completion of a post-offer/pre-placement drug test (and medical examination if required by the role) as well as pre-placement verification of the information and qualifications provided during the selection process.

Dave is one of the leading US neobanks and a pioneer in financial services, using disruptive technology to provide best in class banking services to millions of members at a fraction of the cost compared to incumbents. The anchor of our banking value proposition, ExtraCash, provides up to $500 of short term, interest free advances to members within minutes of joining. The speed to value, access and pricing of ExtraCash compared to traditional overdraft sets us apart from incumbents and is a key to our strategy to efficiently acquire transacting Dave debit card members.

We are looking for a Lead Data Scientist to build and lead credit risk management for our newest consumer credit product at Dave under the Data Science org. Unlike other providers of short term credit, Dave relies on our member's cash flow and income data so it is important that this leader has prior experience and is excited to work with alternative data sources to drive differentiation in our products, growth for our business, and value for our members with a risk appetite.

Furthermore our ideal candidate has a track record of launching new products as well as operating and scaling existing credit strategies during all points of a credit cycle. As a Lead Data Scientist, it is critical to partner with product, marketing, legal, finance, engineering and other cross functional teams to manage the business. Over time this role may grow into people management so having a desire to lead and mentor a team is important.

What You'll Do

• Play a foundational role in launching Dave's next credit product with seasoned knowledge of credit card life-cycle business 
• Lead and design credit risk strategy including pricing strategy, line assignment and portfolio management, especially with intense experience/knowledge of leveraging ML/AI solutions
• Lead feature discovery and continuous model/strategy optimization along with the rest of the data science org 
• Identify and evaluate new data sources to help model and strategy optimization
• Develop tools to monitor and forecast performance to effectively manage the business
• Partner with product managers, engineers and other cross functional partners to develop and deploy the solutions into production with best practices and high quality
• Help guide and contribute the build out of the other credit risk function at Dave

• Minimum 6+ years of experience in credit risk management and predictive analytics
• Master degree in Computer Science, Mathematics/Statistics and other STEM majors is required; PhD is a plus
• Deep domain knowledge of credit risk management in credit cards business
• Proficiency with SQL, Python; Cloud computing is a plus
• Detailed, results oriented operator  
• Curious and creative problem-solver
• Clear communication style to guide working teams and report out credit performance to executive stakeholders

• Python
• SQL
• TensorFlow
• PyTorch
• Spark
• GCP
• Vertex AI

Don’t let imposter syndrome get in your way of an incredible opportunity. We’re looking for people who can help us achieve our mission and vision, not just check off the boxes. If you’re excited about this role, we encourage you to apply. You may just be the right candidate for this or other roles.

Why you’ll love working here: 

At Dave, our people are just as important as our product. Our culture is a reflection of our values that guide who we are, how we work, and what we aspire to be. Daves are member centric, helpful, transparent, persistent, and better together. We strive to create an environment where all Daves feel valued, heard, and empowered to do their best work. As a virtual first company, team members can live and work anywhere in the United States, with the exception of Hawaii. 

A few of our benefits & perks:

• Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals

• Flexible hours and virtual first work culture with a home office stipend

• Premium Medical, Dental, and Vision Insurance plans

• Generous paid parental and caregiver leave

• 401(k) savings plan with matching contributions

• Financial advisor and financial wellness support

• Flexible PTO and generous company holidays, including Juneteenth and Winter Break

• All-company in-person events once or twice a year and virtual events throughout to connect with your team members and leadership team

Dave, Inc. is proud to be an Equal Employment Opportunity employer and is dedicated to cultivating a diverse and inclusive workplace. We will consider for employment all qualified applicants and do not discriminate on any basis protected by federal, state, or local law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history.

#LI-REMOTE #BI-Remote

Please read the IMPORTANT section at the end of this posting.

About Very

Very is a fully distributed IoT technology firm led by expert problem-solvers to create efficient, scalable solutions that move commercial, industrial, and consumer IoT projects from pilot to production in record time. 

We’ve built a collaborative, tight-knit team that thrives, whether we’re hanging out in person at our annual retreat or coordinating work across time zones. The results show that we’re doing something right — as we’ve won numerous workplace awards over the years. Most recently in 2021 we were certified as a Great Place to Work, and in 2022 we were listed again in Parity.org’s list of Best Companies for Women to Advance.

We believe that everything we build — and the people we build it with — has the potential to change the world. Our client list includes numerous well-known brands determined to leverage the power of IoT to drive material outcomes — such as Vizio, Peloton, Clear, iHeart Radio and Fellowes. Our goal, for each and every client we partner with, is to create high-value solutions through a collaborative and user-centered process.

About This Role

As a Generalist Lead Data Scientist at Very, you will work with our Software, Hardware, and Product Design teams to build full-service solutions for our clients. We focus on building end-to-end hardware and software solutions that meet our client's business needs, and reliable machine learning systems are often a part of our offering. An ideal candidate will display technical expertise in machine learning and data science, strong communication skills, and the ability to present ideas and results to audiences ranging in technical depth.  Candidates should also have experience translating business problems into analytical solutions, working in interdisciplinary teams, and building ML models for production systems.

What You’ll Be Working On

At Very, there is a never-ending supply of variety to the projects we work on. However, it is critical to note that almost all of these projects are production systems. As such, the only consistent research component of this position will revolve around establishing a pattern of delivery that allows the team to implement full-scale applications leveraging machine learning in a fast, predictable manner. 

You’ll spend 80-90% of your time working on products or platforms for one of our clients, and the other 10-20% of your time will be spent improving Very’s Data Science Practice. This will involve:

- Working with other data scientists to continuously improve our delivery process for data science applications.

- Working with our marketing team to generate high-quality content (blog posts, conference presentations)

- Working with our sales team to close deals and build meaningful, well-scoped proposals for potential clients.

As a lead data scientist, you will be expected to not only understand the following analytical approaches but also be able to guide others in their implementation:

- Predictive modeling and/or anomaly detection on multivariate time series data

- State classification and prediction for geospatial time series data

- Regression and classification using a variety of deep learning and ensemble tree-based methods

- Clustering/segmentation

- Dimensionality reduction or latent space representation

- Classical statistical analysis and signal processing

Our Current Tooling

Our data science contracts typically involve building a greenfield API or greenfield product from the ground up. In the context of the data science and machine learning pipelines, we typically leverage:

- Git, GitHub, CircleCI or GitHub Actions (CI/CD), pytest (TDD)

- The standard SciPy Stack (Numpy, SciPy, Pandas, Scikit-Learn, Matplotlib)

- SQL/Postgres

- Docker

- Jupyter notebooks for prototyping

- Cloud architecture and resources for production systems. eg)

-- AWS: Lambda, ECR/ECS, RDS, API Gateway, Batch, Sagemaker

-- Azure: Functions, Container Registry/Instances, SQL Database [for PostgreSQL/MySQL], API Management, Machine Learning

-- 3rd party: TimescaleDB

- Serverless or Terraform for Infrastructure-as-Code

- MLflow

- PyTorch

On our full-service builds, we often reach for the following tools. Experience with them is not required, but any familiarity with these tools is a plus. Our build teams operate with a very high degree of collaboration, so you will definitely have run-ins with these stacks throughout your time here:

- Python web development frameworks (Django, Flask)

- React & React Native

- Swift & Objective C

- Ruby on Rails

As an IoT technology company our data science pipelines include “Things”. This will require you to build pipelines and deploy analytical models to hardware on the edge in addition to the cloud. This requires a deep collaboration with the design, software and hardware teams in the following environments:

- Elixir, Phoenix, and Nerves

- Embedded C and other lower level languages such as Rust

- CI/CD including hardware and end-to-end testing and verification

- Development Single-Board Computers such as RPi

At Very we have two types of lead positions; a specialist and generalist. Both positions go beyond the mastery of the core Data Science competencies to include a leadership position. The specialist lead focuses in great depth in one or more areas of Data Science and spreads that mastery across Very. The generalist lead takes a more multi-disciplinary approach and leads multi-disciplinary projects from a technical perspective.

Responsibilities

-- Work with stakeholders (clients, sales, engineers & designers) to define Statements Of Work (SOW)

-- Communicate how data science can deliver value to the client

-- Estimate quantity of work required to unlock this value

-- Identify related assumptions, risks and dependencies 

- Take ownership of the data science components and related systems to ensure project success

-- Architect, build and deploy reliable end-to-end data and ML pipelines into production

-- Ensure the highest level of testing across the full data pipeline and operating envelope

-- Execute and document all algorithm verification testing for certification

-- Build and nurture strong relationships with clients, understand their perspective and walk them through the data science value chain

-- Facilitate complex conversations to achieve alignment to drive positive outcomes   

- Continue to expand and evolve the Data Science (DS) practice at Very

-- Provide technical guidance to DS and non-DS team members

-- Pairs with mid team members to develop their skills and deliver on projects 

-- Continually learn, share and refine your DS skills and knowledge

-- Establish and enact DataOps and MLOps best practices 

- Take on the responsibility of Technical Lead on complex multi-disciplinary projects

- - Build reliable product roadmaps with technical implementation strategies

- - Monitor and optimize the technical implementation and coordination of the project

- - Identify and mitigate risks and seek assistance when required

- As a client services organization, travel may be required up to 10% of the time.

Qualifications

Required

- Master’s degree in Data Science related field

- 5+ years of related experience

-- Deployed statistical, ML or other analytical models to production

-- Lead teams with hardware and software engineers

-- Performed real-time signal processing or lead teams that did so

- Strong written and spoken communication skills in English

- Proficient in Agile development

- Mastery in analytical framing

-- Breaking down solutions into “thin vertical slices” of work 

-- Guiding interdisciplinary team to successfully estimate and execute these slices   

- Deep understanding of all four types analytics (Descriptive, Diagnostic, Predictive & Prescriptive)

-- Translating desired client outcomes to the appropriate type

-- Understanding the data requirements and techniques to achieve each type  

- Experience using a cloud computing platform like AWS, GCP, or Azure

- Expert-level Python development skills related to Data Science

-- Object-Oriented Programming

-- Automated testing, code coverage, model building & evaluation

-- SciPy Stack, Scikit-learn, Tensorflow or PyTorch

-- GitHub CI/CD best practices 

- Experience developing in, compiling and deploying low level software; C++, Embedded C or Rust preferred

- Proficient developing in Linux including and light administration

Nice-to-have

- 7+ years of related experience including with connected devices

- Proficient in embedded real-time signal processing

- AWS Professional level certification

- Familiarity with Elixir, Phoenix, and Nerves

- Hands-on experience with Single-Board Computers such as RPi

Compensation

We believe in a fair compensation structure and use a transparent salary matrix.

Base Compensation

Between USD $175,000 and $185,000 per year, commiserate with experience.

Variable Compensation

Up to 15% in the first year

We also offer world-class perks:

- 401k Match

- Insurance (Dental, Vision and Life)

- Paid Parental Leave (95th percentile for the U.S.)

- $200/mo towards cell phone/internet

- $600/yr towards home office buildout & upgrades

- $2,500/yr continuing education stipend, upon one year of employment

- Loaned MacBook Pro

Why Work for Very

You are more than your job title. At Very, we prioritize talent development and professional growth with a human-first approach that caters to the unique goals each individual brings to the team. 

Our core value, Invest in Our People, looks like collaborating with a cohort of talented people on a mission to get better every single day. It feels like working for a company that invests in you. And it means finding alignment with your career goals to get you where you want to be.

How do we bring our priorities to life? Of course we offer the typical world-class perks you would expect. Additionally, as a remote-first company (since 2011), we provide stipends for home office, telephone, and internet. Professional development funds and generous parental leave are also some of the benefits you can expect.

But a healthy company culture isn't just about perks. It's about creating an environment where our employees can thrive. Our work is fueled by smart, creative people whose lives are enriched by our experiences together. We learn together, we grow together, and we play together. Despite working across more than half a dozen countries, our teams connect regularly for work and for fun - on Slack, Zoom, and during an annual retreat. We’ve been remote-first from the beginning, so we know well what it takes to maintain a strong culture.  #LI-Remote

IMPORTANT:

1. We don't currently provide H1B Visa Sponsorship. Don't apply if you require this.

2. This job is remote but if you’re not located in the region or country mentioned in the post’s title, do not continue. Your application won’t be reviewed.

3. Delivery team members may be required to travel up to 10% of the time. As a client services organization, this is expected.

Interviewing for a new company is a serious time commitment for all parties involved. Please take the time to read this and thoughtfully consider if we would be a good fit for one another.  No contractors or agencies. Seriously. #LI-Remote

Who We Are  

We are change agents. We are inspired technologists. We are unlike any other technology consulting firm. Our team fearlessly challenges the status quo, relentlessly pursues what’s next and pushes the limits of what’s possible. A Microsoft Gold Partner and multiple-time Partner of the Year award recipient, Concurrency is renowned for its ability to turn unmatched technology expertise into client outcomes. Have we inspired the technologist in you? Come be a change agent at Concurrency.  

Who We’re Looking For  

We’re excited to add a Data Scientist to our Data & AI team. In this role, you’ll serve as a forward-thinking technical thought leader with a passion for aligning technical solutions to customer and business needs. You'll bring a strong technical expertise in Machine Learning and Artificial Intelligence data solutions. You’ll be responsible for the development of Data Science solutions using Azure, machine learning, advanced data science concepts/algorithms, data architectures, and the evaluation and implementation of modern data science platforms.  

What You'll Do

• Understand customer needs as it relates to presently available data 
• Solve complex technical problems and lead all phases of conceptualization, design, development, and testing 
• Use Big Data tools (Databricks, Spark, Azure, SQL, R, Python) to carry out analyses 
• Deploy machine learning model for training and productization 
• Leverage external data sources and APIs to discover interesting trends 
• Build machine learning models from development through simulation, testing, and validation 
• Integrate application-specific machine learning models 
• Discuss project issues and topics in easy-to-understand terms with clients while presenting project status. Present Demos and Proof of Concepts 
• Implement productized machine learning models 
• Leverage services such as Cognitive Services when applicable Understand customer needs as it relates to presently available data 

• Ph. D. or Master’s in Mathematics, Physics, Statistics or a related field 
• Experience using Databricks, Spark, SQL, and Python 
• Proficient in Machine Learning and forecasting 
• Demonstrable experience of applied Machine Learning or Data Science techniques 
• Knowledge of data science tool-space, data analysis, data preparation, data verification, and software development concepts 
• Knowledge of databases, and data warehouse structures 

• Basic exposure to cloud solution architectures 
• Deep Learning 
• Exposure to Data Visualization tools such as Power BI or Tableau 
• Experience working in a professional services organization 

Concurrency takes pride in bringing a different mindset to consulting—that takes a diversity of thought, collaboration and resilience. We are an innovation-obsessed yet a fun and progressive place to work. We offer flexible work schedules, competitive compensation, and great benefits for our people and their families.

In addition, all employees are eligible for several rewards and recognition programs, excellent training programs, and bonus opportunities to encourage our people to be the best versions of themselves in and out of work.

Rad AI is the fastest growing radiologist-led AI company on the market. In addition to winning the 2021 award for “Best New Radiology Vendor” from AuntMinnie, Rad AI ended the year by closing a $25M Series A round and being named to the 2021 CB Insights Digital Health 150 - List of Most Innovative Digital Health Startups. Rad AI continued the momentum by being recognized as 2022 CB Insights AI 100 - Most Promising AI Companies.

Why we're hiring for this role: We are looking for a passionate and experienced Software Engineer versed in building and deploying ML systems efficiently at scale. This is a very special opportunity for the right engineer to work on enormously impactful problems powered by real-world deep learning. As one of the first software engineering hires into the ML team, you will have a great latitude in shaping engineering decisions.

This is what you’ll do:

• Server side software design and implementation for machine learnings systems.
• Collaborate with researchers and data scientists to productionalize machine learning models for scale.
• Building CI/CD pipelines to streamline training and deployment.
• Work on building a robust ML infrastructure that accelerates ML team output and enables continuous improvement - orchestration of pipelines, model versioning, data versioning, model monitoring, model serving, experimentation etc
• Bring in the best software engineering practices to a growing ML organization

• Deep understanding of Python and its core concepts. Expertise in writing “Pythonic” code and understanding of what that entails. In-depth grasp of the open-source Python landscape, use tools and libraries with comfort to build applications.
• Proficient in designing and developing RESTful web services, with a solid comprehension of stateless APIs and OpenAPI standards.
• 5+ years of software engineering with versatile experience in building ML-powered production systems.
• Have a solid grasp on the MLOps ecosystem.
• You have acquired best practices to lead the team towards building a robust ML infrastructure and you obsess about SLAs.
• Skilled in leveraging AWS services, integrating with them, and developing in hybrid environments that combine AWS services with custom applications.
• Proficient in using Docker for delivering containerized applications.

• Experience with training large-scale deep learning models.
• You have built high performance online serving infrastructure
• Experience with ML technologies such as PyTorch, Metaflow, SageMaker, Triton-serving
• Experience with FastAPI
• An open source Github portfolio.

Founded in 2018 by the youngest radiologist in US history, Rad AI has seen rapid adoption of its AI platform, and is already in use at 7 of the 10 largest private radiology practices in the US. Rad AI uses large language models and state-of-the-art machine learning / generative AI to streamline repetitive tasks for radiologists, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care. Its first product, Rad AI Omni, saves radiologists an average of 60 minutes per day, and helps achieve up to 20% time savings per report.

Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives. Our team is mission-driven and focused on transparency, inclusion, close collaboration, and building an incredible team. Come and help us make a difference!

Rad AI is the fastest growing radiologist-led AI company. In addition to winning the 2021 award for “Best New Radiology Vendor” from AuntMinnie, Rad AI ended 2021 by closing a $25M Series A round of investment and being named to the 2021 CB Insights Digital Health 150 - List of Most Innovative Digital Health Startups. Rad AI continued the momentum by being recognized as 2022 CB Insights AI 100 - Most Promising AI Companies.

Founded in 2018 by the youngest radiologist in US history, Rad AI has seen rapid adoption of its AI platform, and is already in use at 7 of the 10 largest private radiology practices in the US. Rad AI uses large language models and state-of-the-art machine learning / generative AI to streamline repetitive tasks for radiologists, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care. Its first product, Rad AI Omni, saves radiologists an average of 60 minutes per day, and helps achieve up to 20% time savings per report.

Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives!

Why we're hiring for this role:

We are seeking a highly skilled and motivated Support Engineer to join our team. As a Support Engineer, you will play a crucial role in ensuring the success of our clients by providing technical support, troubleshooting, and resolving complex issues. You will have the opportunity to work with a diverse range of technologies and collaborate with cross-functional teams to deliver exceptional customer experiences.

This is what you'll do:

• Debug and resolve technical issues reported by clients, with a specific focus on remote Windows clients.
• Participate in a rotation schedule to ensure availability for addressing critical severity issues, including occasional night/weekend on-call shifts.
• Utilize your expertise in debugging tools to analyze and troubleshoot complex technical problems efficiently.
• Engage with customers, including high-profile clients, and provide exceptional technical support and guidance.
• Troubleshoot and debug web applications, identifying and resolving performance bottlenecks and software defects.
• Collaborate with development and QA teams to provide timely feedback and suggestions for improving product reliability and performance.
• Mentor and provide guidance to junior engineers, fostering their growth and development within the organization.
• Demonstrate a strong ability to understand and solve networking issues, including VPN troubleshooting (experience in this area is a plus).

• Bachelor's degree in Computer Science or related field, or equivalent practical experience.
• Minimum 3 years of hands-on experience in a professional environment. 
• Proven hands-on experience in debugging remote Windows clients, with a deep understanding of troubleshooting methodologies and best practices.
• Strong expertise in using various debugging tools and techniques to diagnose and resolve software issues.
• Experience in debugging web applications, including proficiency in web development technologies such as HTML, CSS, JavaScript, and related frameworks.
• Passionate about working in a fast-paced startup environment and excited about the opportunity for career growth.
• Excellent communication and interpersonal skills, with a desire to collaborate and mentor junior engineers.
• Knowledge and experience in network VPN troubleshooting will be considered a significant advantage.

• Experience in a hyper growth environment and or startup company

Thank you for your interest. We look forward to hearing from you.

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Rad AI is the fastest growing radiologist-led AI company on the market. In addition to winning the 2021 award for “Best New Radiology Vendor” from AuntMinnie, Rad AI ended the year by closing a $25M Series A round and being named to the 2021 CB Insights Digital Health 150 - List of Most Innovative Digital Health Startups. Rad AI continued the momentum by being recognized as 2022 CB Insights AI 100 - Most Promising AI Companies.

Why we're hiring for this role:

We’re seeking to add a world-class experienced Senior / Lead Machine Learning Scientist and hands on NLP subject matter expert to join our amazing ML team. This person will play a critical role in helping mentor our growing ML Engineering team and will be instrumental in building out our ML infrastructure, scaling up our models, and cross collaborating with the Software and DevOps Engineers on the needs of our research platform.

This is what you’ll do:

• Develop SOTA sequence-to-sequence and classification models for reasoning over clinical text
• Read papers and devise experiments with the intent of incorporating new research into our platform 
• Work as peers with our product team by integrating new research into applied projects.
• Determine scope of the problem, the best place to apply machine learning, set up labeling tasks if necessary, and evaluate different approaches
• Mentor and collaborate with members of our growing ML Team, and advise the Software and DevOps Engineers on the needs of the research

• Preferred PhD or Masters in CS or related field, or equivalent experience 
• At least 4 post educational working years of experience
• Experience developing and testing NLP models in a commercial or academic setting
• Experience applying both supervised and unsupervised methods to real world datasets
• Experience with LLM in production systems
• Solid fundamentals in algorithms, math, and probability theory 
• Experience with deep learning frameworks (e.g. PyTorch) and common NLP frameworks such as HuggingFace.
• Extensive programming skills, with a focus on Python

• Experience working at an early stage startup 
• Have successfully published in NLP
• Experience with building ML Infrastructure (e.g AWS, Metaflow)
• Experience in a HIPAA compliant environment 
• Experience applying machine learning to health data

Founded in 2018 by the youngest radiologist in US history, Rad AI has seen rapid adoption of its AI platform, and is already in use at 7 of the 10 largest private radiology practices in the US. Rad AI uses large language models and state-of-the-art machine learning / generative AI to streamline repetitive tasks for radiologists, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care. Its first product, Rad AI Omni, saves radiologists an average of 60 minutes per day, and helps achieve up to 20% time savings per report.

Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives. Our team is mission-driven and focused on transparency, inclusion, close collaboration, and building an incredible team. Come and help us make a difference!

Rad AI is the fastest growing radiologist-led AI company on the market. In addition to winning the 2021 award for “Best New Radiology Vendor” from AuntMinnie, Rad AI ended the year by closing a $25M Series A round and being named to the 2021 CB Insights Digital Health 150 - List of Most Innovative Digital Health Startups. Rad AI continued the momentum by being recognized as 2022 CB Insights AI 100 - Most Promising AI Companies.

Why we're hiring for this role:

Rad AI, a leading company in AI for radiology, is now hiring a VP of Engineering.

Rad AI is currently at the Series A stage with Series B funding on the near horizon. As the company grows, we are seeking a dynamic and hands-on engineering leader to play a pivotal role in scaling our team. Presently, our workforce consists of 70 talented professionals, including 35 engineers. However, with ambitious expansion plans in mind, we aim to double our engineering team within the next 12-18 months.

While our flagship product revolves around the utilization of generative AI in radiology, we do not require specific expertise in AI or healthcare IT for this particular role. Nevertheless, familiarity in these domains would be advantageous. Ultimately, we are seeking an individual capable of fostering a collaborative and results-oriented team culture, one that thrives on building and nurturing talent.

This is what you'll do:

• Develop a strategic technical vision aligned with the company’s business goals.
• Lead and mentor the engineering team, promoting a culture of innovation, high performance, and continuous learning.
• Hands-on involvement in the architecture and design of our technology solutions.
• Ensure the delivery of high-quality software within schedule constraints and in compliance with best engineering practices.
• Establish and enforce strong software engineering methodologies and standards.
• Collaborate with Product Management, Sales, and other stakeholders to understand needs, define requirements, and deliver robust solutions.
• Plan and manage the engineering budget efficiently, seeking the best ROI.
• Identify and mitigate risks, troubleshoot issues, and find ways to increase efficiency and effectiveness.
• Keep abreast of the latest technology trends and apply this knowledge to drive innovation.

• Minimum of 10 years of engineering experience, with at least 4 years in a leadership role preferred.
• Proven experience building and leading high-performing engineering teams.
• Exceptional project management and organization skills.
• Leading engineering teams at a multi-product company is preferred.
• Excellent interpersonal and communication skills, capable of articulating technical concepts to non-technical stakeholders.
• The ideal candidate would serve as the glue between our different engineering teams.
• Proven ability to manage a budget and make strategic decisions about resources and investments.
• Experience working in a fast-paced startup environment is a plus.

Founded in 2018 by the youngest radiologist in US history, Rad AI has seen rapid adoption of its AI platform, and is already in use at 7 of the 10 largest private radiology practices in the US. Rad AI uses large language models and state-of-the-art machine learning / generative AI to streamline repetitive tasks for radiologists, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care. Its first product, Rad AI Omni, saves radiologists an average of 60 minutes per day, and helps achieve up to 20% time savings per report.

Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives. Our team is mission-driven and focused on transparency, inclusion, close collaboration, and building an incredible team. Come and help us make a difference!

AI is the new electricity. Just as it transformed entire industries 100 years ago, AI is poised to do the same today. AI Fund is a venture studio that was formed to be at the forefront of this revolutionary wave. We harness artificial intelligence to create innovative solutions for the big challenges of today. With the collective aspirations of our co-founders, we build companies from inception to market launch. We innovate, ideate, and validate to address some of the most pressing issues in human capital, healthcare, wellness, and other traditional industries.

Founded in 2017 by Dr. Andrew Ng, the $176 million-dollar funded venture studio is backed by top-tier VC firms and investors, and powered by the AI Fund teams’ combined experiences as AI pioneers, entrepreneurs, venture capitalists, and operators.

Why partner with AI Fund

We’ve been there.  We’ve founded and scaled successful companies ourselves, and we know that creating meaningful startups is really hard.  Many entrepreneurs toil with ideas for years.  Many spend time building something without the foresight of limiting factors that could have been easily dismissed upfront.  Accomplished execs often teeter between a desire to start a company and creating something great versus taking a job that is less fulfilling.  If only someone could help with taking the risk out of turning an idea into reality and accelerate the company building process, more people would be inspired to start a company.

Coming up with great ideas, sussing them out, assembling great teams, and helping raise capital is what we do.  We shorten a process that can take years down to months.  We make sure you are going after the right market, are fully validated, and are surrounded by great teammates.  Lastly, we make sure you see the world through the lens of a data scientist and machine learning expert, which is the perspective any meaningful company in the future must have.

But we also know that the process is not about us.  It’s about great Founders and empowering them to do great things.

What We Seek

We are looking for passionate entrepreneurs with first-hand knowledge of the problem they have encountered or entrepreneurs that might match to a problem or idea we already have.

It’s not a mandate, but ideally, we want people with experience solving business problems and have a keen eye for anticipating business risks.  You may have been a product manager running a product or product line before.  You may have been an engineer who has been on the front lines of helping shape a company.  You may have been a management consultant who has experience in a particular vertical.  Or perhaps you are a proven entrepreneur who recognizes that the difference between success and failure is razor-thin, and you want every advantage you can get.

Lastly, we want people who are leaders.  We desire people who can hire great people, get others excited about their vision, raise capital, and make it all happen.

About The Project

You have the opportunity to lead the Generative AI revolution in the procurement, and make a real difference to the way businesses operate. At the core of our vision lies the powerful synergy between generative AI and the complex world of procurement. We have harnessed the potential of Language Models (LLMs) to automate the tedious yet crucial paperwork that engulfs the procurement process. We will be able to create a differentiated business by building a new systems of record within this space, establishing a highly defensible business that reshapes the foundations of procurement.

Imagine a world where businesses seamlessly leverage our cutting-edge AI platform to automate every facet of their critical procurement processes, from sourcing deals to submitting RFPs. This is the vision we are building—one where mundane tasks are delegated to machines, freeing up valuable time and resources for construction businesses to focus on their core strengths, achieve exceptional results, and drive profitability.

The problem we are solving is not just a pressing issue for our target customers; it is a top priority that directly impacts their revenue and profitability while reducing operational costs.

We understand the challenges faced by businesses in securing lucrative projects, optimizing costs, and delivering with unparalleled efficiency. Our goal is to build a business that will tackle these pain points head-on, empowering our customers to unlock unprecedented levels of productivity and competitive advantage.

What You Will Be Doing:

• The FIR will work with the AI Fund Leadership Team to launch and scale a new business from the ground up. We want to work with entrepreneurs who are obsessed with startups and building exceptional products.
• Work alongside our staff to iteratively research and validate on a problem  that can be solved with AI/ML. This includes idea validation, product validation, market validation, and funding validation.
• Design a product and prototype it.
• Set the vision and the strategy of the portfolio company once the idea has been tested and determine product market fit.
• If all makes sense, we capitalize the company to help you stand the company up, bring in the best talent, build the product, and get pilot customers

• Prior Enterprise SaaS and B2B experience
• Prior startup founder or experience working at an early stage hi-tech company
• Integral part of building technology companies from 0 to 1 
• Strategic thinking
• Self-starter who will thrive in an ambiguous startup environment
• Competitive, entrepreneurial mindset
• Demonstrated experience building products and leading teams
• Demonstrated track record of success
• Demonstrated ability to fundraise
• Demonstrated ability to move fast and make sound judgment while doing so
• BA/BS degree or equivalent practical experience
• Ability to attract and motivate great team members
• Good communication skill and team player

• Advanced degree or equivalent practical experience
• Skill to foster good company culture
• Solid understanding and uncanny curiosity about AI
• Experience selling technology to low tech or regulated industries
• Procurement experience

• Accountability: an obligation or willingness to accept responsibility or to account for one's actions while doing so with the highest regard for integrity.
• Leadership: able to influence others to follow you and lead the team to a brighter future.
• Grit: able to stick with projects and work hard through good and bad times. High pain tolerance and can perform well under stress or pressure.
• Scrappy: Takes initiative and is proactively able to get things done with low resources, but doing creative things, begging, borrowing, and whatever is needed in an ambiguous environment or situation.
• Ownership Orientation: Demonstrated orientation of extreme ownership over all aspects of the company and extremely results-driven in nature.

At AI Fund, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. AI Fund and Book And I believe that diversity and inclusion among our employees is critical to our success as a company, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.