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Tegus is the leading market intelligence platform for key decision makers. We power some of the world’s most well-respected institutional investors, corporations, and consultancies through the largest and most comprehensive database of primary and market information. Our products and services enable clients to discover unmatched insights and answers to the most challenging questions they face to help them make better informed decisions. (And because a job description can only contain a fraction of how we operate, click here to learn more about the Tech Team at Tegus!)

As a senior machine learning engineer at Tegus, your job will be to build product features powered by machine learning on top of our unique, proprietary datasets.  The core of this data is an ever-growing set of “expert interviews”--primary research conversations between financial analysts and domain experts, arranged by Tegus, who discuss the ins-and-outs of a particular company’s business.  In 2021, Tegus acquired BamSEC, adding a comprehensive database of SEC filings and earnings/events transcripts to the platform.  And last year, through our acquisition of Canalyst, we added custom financial models and cleaned financial time series data.

Because so much of this data is unstructured text, your work will lean heavily towards NLP and large language models.  While we make extensive use of OpenAI API’s, we plan to explore other vendors, future open source models, and perhaps even custom-trained or fine-tuned models.

As a team, we have already launched LLM-powered transcript summaries and a search/browse experience based on topic extraction.  A main focus of our upcoming work will be a chat agent for financial professionals that has access to all of our underlying datasets.

Our work is core to the future of the company.  You will join as one of the first hires, reporting to the VP of Machine Learning, and will help to set the culture and practice of how we do machine learning at Tegus.  You will also get to work on real business problems using some of the latest and most exciting tools and methods in the industry.

Responsibilities

• Collaborate with product managers and product engineers to prototype, build, and release features in the Tegus Platform that leverage the latest advances in machine learning applied to our proprietary dataset of financial text.
• Write production python code in our internal machine learning packages and deploy production microservices.
• Stay on top of the latest advances in machine learning, including reading and presenting research papers.
• Influence how we architect and deploy our machine learning code and services.
• Mentor and pair with one or more junior ML engineers.

• Bachelor’s degree in a quantitative discipline or demonstrated experience working on data-intensive problems (Masters or PhD preferred but not at all required).
• 5 years of experience working in a data-intensive or machine learning role, with at least 2 of those years in an industry role.
• Demonstrated experience training and deploying machine learning models with a preference towards NLP applications.
• Deep experience in the python data and machine learning ecosystem, including experience with pytorch.
• Familiarity with docker, python API frameworks like FastAPI, and software engineering best practices.
• Preferred: Previous experience deploying microservices on kubernetes.
• Practical, iterative, product-focused mindset over slower, methodical, research-minded approach.

• Comprehensive medical, dental, and vision plans. 
• 401K plan with an employer match.
• Parental leave for all parents.
• All employees are granted equity through our Restricted Stock Units (RSU) Program.
• Unlimited paid vacation, flexible work hours, and 10 observed paid holidays per year.
• Employer funded long-term disability.
• Fantastic culture with regular virtual company-wide events, including cooking classes, yoga, meditation and more.
• Generous employee referral bonus program.
• The opportunity to attend peer-nominated quarterly DEI events.
• Working for a thriving, performance-based company that values promoting from within, career advancement and transparency.
• Work from our state of the art office in the heart of Chicago’s Loop featuring standing desks, mother rooms, nursing parent neutral bathrooms, subsidized gym access, and full amenity floor.
• Commuter benefits & a fully stocked kitchen with rotating snacks and beverages.

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Tegus we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Tegus, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status. In addition to federal law requirements, Tegus complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Tegus expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.

The only @email addresses we use are @tegus.co or @tegus.com. If you receive emails from any other domain (including .us), please assume they are fraudulent and let us know by sending an email to fraudreporting@tegus.com

Tegus is the leading market intelligence platform for key decision makers. We power some of the world’s most well-respected institutional investors, corporations, and consultancies through the largest and most comprehensive database of primary and market information. Our products and services enable clients to discover unmatched insights and answers to the most challenging questions they face to help them make better informed decisions. (And because a job description can only contain a fraction of how we operate, click here to learn more about the Tech Team at Tegus!)

As a machine learning engineer at Tegus, your job will be to build product features powered by machine learning on top of our unique, proprietary datasets.  The core of this data is an ever-growing set of “expert interviews”--primary research conversations between financial analysts and domain experts, arranged by Tegus, who discuss the ins-and-outs of a particular company’s business. In 2021, Tegus acquired BamSEC, adding a comprehensive database of SEC filings and earnings/events transcripts to the platform. And last year, through our acquisition of Canalyst, we added custom financial models and cleaned financial time series data.

Because so much of this data is unstructured text, your work will lean heavily towards NLP and large language models. While we make extensive use of OpenAI API’s, we plan to explore other vendors, future open source models, and perhaps even custom-trained or fine-tuned models.

As a team, we have already launched LLM-powered transcript summaries and a search/browse experience based on topic extraction. A main focus of our upcoming work will be a chat agent for financial professionals that has access to all of our underlying datasets.

Our work is core to the future of the company. You will join as one of the first hires, reporting to the VP of Machine Learning, and will help to set the culture and practice of how we do machine learning at Tegus. You will also get to work on real business problems using some of the latest and most exciting tools and methods in the industry.

Responsibilites

• Collaborate with product managers, product engineers, and more senior ML engineers to prototype, build, and release features in the Tegus Platform that leverage the latest advances in machine learning applied to our proprietary dataset of financial text.
• Write production python code in our internal machine learning packages and deploy production microservices.
• Stay on top of the latest advances in machine learning, including reading and presenting research papers.

• Bachelor’s degree in a quantitative discipline or demonstrated experience working on data-intensive problems (Masters or PhD preferred but not at all required)
• 2 years of experience working in a data-intensive or machine learning role
• Demonstrated experience training and deploying machine learning models with a preference towards NLP applications
• Experience in the python data and machine learning ecosystem, including experience with pytorch
• Basic familiarity with docker, python API frameworks like FastAPI, and software engineering best practices
• Practical, iterative, product-focused mindset over slower, methodical, research-minded approach

• Comprehensive medical, dental, and vision plans. 
• 401K plan with an employer match.
• Parental leave for all parents.
• All employees are granted equity through our Restricted Stock Units (RSU) Program.
• Unlimited paid vacation, flexible work hours, and 10 observed paid holidays per year.
• Employer funded long-term disability.
• Fantastic culture with regular virtual company-wide events, including cooking classes, yoga, meditation and more.
• Generous employee referral bonus program.
• The opportunity to attend peer-nominated quarterly DEI events.
• Working for a thriving, performance-based company that values promoting from within, career advancement and transparency.
• Work from our state of the art office in the heart of Chicago’s Loop featuring standing desks, mother rooms, nursing parent neutral bathrooms, subsidized gym access, and full amenity floor.
• Commuter benefits & a fully stocked kitchen with rotating snacks and beverages.

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Tegus we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Tegus, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status. In addition to federal law requirements, Tegus complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Tegus expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.

The only @email addresses we use are @tegus.co or @tegus.com. If you receive emails from any other domain (including .us), please assume they are fraudulent and let us know by sending an email to fraudreporting@tegus.com

CoinFlip is a leading fintech company powered by cryptocurrency. The company operates the world's largest network of cryptocurrency ATMs by transaction volume with over 4,500 kiosks across 49 US states, Puerto Rico, Canada, and Australia supporting the buying and selling of major cryptocurrencies with cash. In 2020, CoinFlip launched Order Desk, an over-the-counter service that provides investors with a personal account manager and competitive coin pricing. In 2023, CoinFlip launched a digital platform called Olliv: the easiest way to buy, sell, send, swap, and receive crypto.

CoinFlip was founded in 2015 by Daniel Polotsky, Kris Dayrit, Alan Gurevich, and Ben Weiss. Headquartered in Chicago, CoinFlip placed in the top 100 on the 2021 and 2022 Inc. 5000 list, and on the 2022 Deloitte Technology Fast 500, was named the 2021 and 2022 #1 fastest-growing company in Chicago by Crain's and was awarded the 2021 and 2022 Stevie ® Awards for Customer Service. For more information about CoinFlip, please visit www.CoinFlip.tech.

We are looking for a Senior Data Scientist with experience in full suite of data science, analytics and ML in a broad spectrum of business functions. As a senior technical member on the Analytics and Data Science team, you will use big data to understand customer behavior and drive decision-making in product development across various crypto products and digital services.

• Actively engage with the line businesses in a cross functional environment, including marketing, finance, operation, customer success, compliance, etc
• Identify opportunities and formulate data science / machine learning projects to optimize for revenue, acquisition, engagement, retention, customer satisfaction and minimize potential compliance risk exposures
• Assist in building ML models and MLOps with modern tech stack in the full ML Lifecyle, including GitLab, AWS, Sagemaker, Redshift, EC2, EMR and Dbt to develop and deploy online/offline ML products
• Serve as a subject matter expert in data science and analytics and research and adopt the new tooling and methodologies in the crypto space
• Other duties as assigned

• Data driven mindset with a graduate degree in Computer Science, Data Science, AI/ML, Mathematics/Statistics, Engineering, or an equivalent technical field.  
• 4+ years of relevant experience in software development, data science, or data analytics.  
• 2+ years of relevant experience in product analytics centered around customer behavior and digital product adoption and risk management, compliance analytics would be highly valued.  
• Experience with experimental design, A/B testing, statistical inference/causal analysis is highly preferred.   
• Deep understanding of predictive modeling process from data exploration, methodology (statistical models, unsupervised and supervised ML models) to model validation, deployment and performance monitoring.  
• Professional experience with a programming language such as Python or R, and advanced SQL, Excel, and visualization tools such as Tableau/Looker.  
• Experience with data science modeling toolsets such as Pandas, TensorFlow, PyTorch, Scikit-learn.  
• Demonstrated leadership in complex areas, through critical thinking, thought leadership, effective communication, and relentless drive for progress.  
• Ability to work both independently and in a collaborative and dynamic team environment.  
• Comfort handling ambiguity and managing multiple assignments.  

• Build cloud-based ML infrastructure with minimal support and scale with business need, either in AWS, GCP or Azure.  
• While not a hard requirement, experience with crypto based products and services is a plus.  
• Experience working for a rapidly growing startup, and managing change  

Working at CoinFlip means collaborating with experienced and innovative leaders who share a clear vision and a track record of success. We offer a collaborative and positive working environment where we encourage employees to balance productivity with time to recharge. Compensation is above and beyond a typical “startup” — we offer competitive salaries, performance-based incentives, and competitive benefits for full-time employees.

CoinFlip values diversity in the workplace and is an equal opportunity employer committed to providing an inclusive and accessible work environment. We thank all candidates who apply, but only those selected for an interview will be contacted. 

By applying to this role, you give express consent to CoinFlip to send you informational text (SMS) messages regarding this role and the application process. You can cancel the SMS service at any time by replying "STOP" to the text message you received. If at any time you forget what keywords are supported, just reply "HELP." Message and data rates apply. If you require a special accommodation, please let us know and we’ll work with you to meet your needs.

POSITION SUMMARY:

This position is responsible for planning, managing and controlling the activities of a team of analysts that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems. Performing complex statistical analysis on experimental or business data to validate and quantify trends or patterns identified by business analysts. Constructing predictive models, algorithms and probability engines to support data analysis or product functions. Verifying model and algorithm effectiveness based on real-world results. Designing experiments and methodologies to generate and collect data for business use. Responsible for aiding tactical decision-making by using predictive and prescriptive remodeling; and extracting actionable insights by identifying patterns in structured and unstructured data.

JOB PURPOSE:

Deliver high-quality internal analytics/data science solutions. Manage analytics delivery plans, scope (number and type of analyses, assumptions), and timelines. Lead and manage the design and optimization of predictive algorithms and/or processes using advanced statistical/mathematical forecasting approaches. Drive the implementation of the solution through dedicated resources as well through coordination with other internal delivery product teams and cross-functional teams. Productize proven algorithms promptly. Measure and improve the quality of analytics solutions on an ongoing basis. Closely work with business partners and lines of business to enhance outputs, troubleshoot data sourcing issues, etc. Plan, manage and control the activities of a team of analysts that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems. Oversee complex statistical analysis on experimental or business data to validate and quantify trends or patterns identified by business analysts. Manage predictive models, algorithms and probability engines to support data analysis or product functions; verifies model and algorithm effectiveness based on real-world results. Manage the design experiments and methodologies to generate and collect data for business use. Leading initiatives to analyze complex business problems and issues using data from internal and external sources. Communicate and interact effectively and professionally with staff, coworkers, management, customers, etc. Manage staff including but not limited to: hiring, performance administration, pay administration, talent management, professional development, training and counseling, maintaining knowledge of company programs and policies, and change management. Serve as a liaison and support the communications and strategy to the team and stakeholders. Oversee the budget and operations of the strategy team.

REQUIRED QUALIFICATIONS:

•  4 - 5 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field.
• 3 years of management and/or leadership experience.
• Leadership and/or management experience.
• Learning and growth mindset.
• Customer-focused.
• Interpersonal, verbal and written communication skills.
• Proficiency with Microsoft applications including Access, Excel, Word and Power Point.
• Experience in at least five of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare.
• A track record of independently delivering or leading the delivery of a complex analytics or data science project.
• Mentoring, managing, or leading junior analytics or data science staff.

• Significant healthcare experience.
• Knowledge of the latest NLP models or capabilities such as summarization, question answering, and voice to text.
• Experience of deploying deep learning models to address business problems.

Nature’s Fynd is a groundbreaking food tech company born out of NASA-supported research on extremophiles in the geothermal pools of Yellowstone National Park. Our novel fermentation technology produces a sustainable source of complete protein using only a fraction of the resources required by traditional agriculture. As the challenge to feed the world’s expanding population grows, our mission is to create amazing foods and materials that provide sustainable choices and nurture the planet.

We’re looking for passionate, driven, and ambitious people to join our fast-growing team.

Define data analytics and technology strategy and lead implementation thereof to drive process and operational improvements across our organization. Drive process improvement through predictive modeling and analysis of production data, in collaboration with our engineering, production and R&D teams. Scope and implement AI/ML-based solutions for automated monitoring and analysis where appropriate. Perform big data analysis and modeling to support process engineering activities. Conduct integrative analysis connecting process, quality, and sensory metrics to assess the impact of process modifications on product quality. Lead conversations and analysis related to the definition of our product specification. Work with engineering, IT and other stakeholders to maintain and improve manufacturing reporting and dashboarding capabilities. Act as product owner of our manufacturing data warehouse, including quality control formulas, aggregations and joins between data sources, and time series querying and featurization from our SCADA system. Define and implement data and technology roadmap for supply chain planning and optimization tools. Support other teams’ analytics needs by developing ad hoc data tools and solutions. Act as mentor to junior analysts and members of Data/IT team. Establish and document best practices for analytics engineering, data science and ML Ops for the organization.

Job Requirements:

• Master’s degree in data science, data analytics, or a related field
• One (1) year of experience applying data science to business operations and manufacturing problems
• Additional experience must include:
• applying statistics, modeling and data visualization to manufacturing and supply chain problems, specifically: t-tests, correlation analysis, data visualization, multivariate regression, time series analysis
• applying advanced numerical and modeling techniques such as optimization, machine learning and/or image analysis in Python, Tensorflow, and keras
• developing complex ETL pipelines in SQL and/or Python, including analytic queries and aggregation across disparate data sources
• Microsoft Excel: tables, named ranges, lookups, error handling, and data validation
• office productivity software: Google Sheets, Google Docs, Google Slides; Microsoft PowerPoint
• architecting and implementing business-facing dashboards using Tableau
• working cross-functionally to develop and leverage models, analyses and other data-driven solutions, including requirements gathering and results delivery to business leadership
• Telecommuting permitted
• Must have current authorization to be employed in the U.S. without employer sponsorship

• Participation in Employee Stock Ownership Program
• 100% paid employee benefits (medical, dental, vision)
• Generous Parental leave policy
• Opportunity to join a company with an aggressive growth trajectory that will revolutionize multiple industries
• Engaging and dynamic work culture full of innovation and collaboration with your fellow Fynders

• Nature’s Fynd views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values

• We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law

At Arturo, we “Decide with Intelligence.” Arturo’s artificial intelligence (AI) models help insurance carriers make smarter decisions throughout the policy lifecycle, from the property level to the portfolio level.  

Our origin as a company developed inside of American Family Insurance sets us apart. We know the business like the back of our hand—because we were once part of it. Today, Arturo continues to build solutions with customer success in mind.  We empower companies with critical property insights to make the most innovative and best decisions for their business and clients. Arturo delivers on-demand property data utilizing multi-source imagery via a configurable API, enabling a better risk assessment and impactful ROI for our customers.   

Arturo consistently adapts to an ever-changing professional landscape. We support our employees by providing a remote-first flexible work schedule, competitive benefits, home office allowance, and operate an unlimited flexible leave policy. 

We are a start-up culture in every sense of the word…we hold a high bar, we lead with empathy, we expect creativity, operate with accountability, and strive for excellence in execution. We also have a lot of fun.

Location: 

While we continue to operate as a remote-first organization, as a means to build community and enhance opportunity for in-person engagements, preference is for employees located within the Denver Tech Region (Denver/Boulder/Colorado Springs). 

Position Overview:

As one of our exceptional Account Executives, you will drive the sales process with prospective customers as well as the expansion of existing accounts. You will be responsible for encouraging new and existing customers to adopt Arturo’s solutions.  We are a customer-centric team that is passionate about the development of trusted relationships across our customer base. You will work closely with customers to understand their business objectives and act as their trusted advisor and partner, enabling our customers to work in new ways. 

Travel: 

As an Account Executive at Arturo, you can expect to travel an average of 40% of the time for client engagements, sales team engagements, conferences, etc. 

What you’ll do:

• You will own the full sales cycle providing solutions to new and existing customers.
• You will be responsible for researching and identifying new business opportunities and engaging prospective clients.
• You will continuously understand the industry trends and preemptively work with our teams to solve future customer needs.
• You will own and manage critical relationships with key stakeholders.
• You will work closely with our VP of Sales and C-Suite in formulating our sales strategy and execution roadmap.
• You will work closely with our Solutions Engineering team to ensure exceptional customer engagement – at every stage of the relationship.

• Bachelor’s degree
• 10+ years of technology and innovation sales experience
• Ability to develop, lead, and close complex, competitive sales efforts, ideally within the insurTech, or Fintech, industry
• Proven track record of facilitating, negotiating, and closing high 6-figure through 8-figure deals & maintaining relationships year over year. 
• Strong analytical and strategic planning skills
• Proven ability to implement strategic initiatives with efficiency, professionalism and demonstrated troubleshooting/problem-solving skills
• Excellent written and verbal communication skills
• Confidence and ability to effectively create and deliver presentations to all audiences up to the executive levels
• Ability to strategically lead internal and external resources and nurture cross-functional relationships
• Ability to negotiate business agreements and enhance existing and new relationships 
• Willingness to learn – You have an insatiable desire to continue growing, a fearless approach to the unknown, and love a challenge
• Teamwork/Collaboration – You like working with others; you participate actively and enjoy sharing the responsibilities and rewards. You proactively work to strengthen our team. You bring a team-first attitude to every sales engagement and operational gathering
• Critical Thinking – You incorporate analysis, interpretation, inference, explanation, self-regulation, open-mindedness, and problem-solving in everything you do
• Drive for Results – You keep looking forward, solve problems and participate in the success of our growing organization

• Geospatial experience preferred
• Experience working within the Imagery and/or Artificial Intelligence / Machine Learning highly desired

• You enjoy solving problems that initially seem impossible.
• You relish working alongside passionate, respectful, and intelligent teammates.
• You value being challenged by those around you to achieve great things.
• You take pride in your work and want to see results provide tangible value.
• You want to create the most sophisticated and accurate products in the InsureTech space.
• Fortune 500 customers will use the outputs of your models to power their business and make decisions.

Compensation and Benefits:

For residents of Colorado: Salary Range: $120k+/year, plus other possible commission and bonus-based incentives. Actual salaries will vary and may be above or below the range based on various factors including, without limitation, location, experience and performance. Other compensation may include [bonuses/commissions] and stock options. In addition, Arturo provides a variety of benefits to employees, including health- medical, dental and vision (82% employer contribution) insurance coverage, life and disability insurance, a retirement savings plan, paid holidays, paid sick leave and flexible time off (FTO). Relocation assistance will be considered. 

Arturo for ALL

We are committed to building a culture as unique as the people, perspectives, and passions it represents. We promise never to settle when it comes to diversity, equity, and inclusion. As the world changes and evolves, we will always listen, learn and do.

Arturo is proud to be an equal-opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

By applying for this position, your data will be processed as per Arturo Privacy Notice for Job Applicants