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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

We're looking for ML Researchers/Engineers to help us make LLMs go fast on Tenstorrent’s leading edge AI platform. If you’re enthusiastic about large scale deep learning models, are a competent software/ML engineer or researcher, and enjoy working on challenging problems, this is your opportunity to be at the bleeding edge of AI processing.

Responsibilities

• Develop novel LLMs and primitives that take advantage of Tenstorrent’s breakthrough accelerator architecture to deliver orders of magnitude performance & efficiency improvements.
• Model benchmarking, Performance Analysis, Characterization on novel hardware accelerator.
• Fine tune/Retrain emerging LLM models after architectural modification to improve performance.
• Implement ideas from latest research papers and validate new optimizations on novel hardware, suggest improvements on the existing ideas and validate new ideas through experiments.
• Implement ML models on Tenstorrent’s PyBUDA Compiler framework and analyze results, suggest novel architectural changes to make them more efficient.

• Deep understanding of Transformer based model architecture (e.g., BERT, GPT, LLaMA, FALCON) - should be able to analyse performance bottlenecks in training or inference.
• Expertise (through evidence in prior projects or research) in large-scale foundation model (CNN/ Transformer/Generative) training and optimisations including quantisation, pruning, low-rank approximation (e.g., LoRA, SVD), sparsity aware training, early exit models, conditional computing, sparse attentions, NAS, fine-tuning (e.g., RLHF, PEFT)
• Excellent working knowledge of Python, PyTorch or TensorFlow, (optional C/C++ if interested in compiler and software stack)
• Familiarity with and passion for any of the following -- ML compilers, high-performance and massively parallel systems, distributed model training and inference, GPU or AI accelerator architecture -- is a plus.

Locations:

Boston (US), Toronto (CAN), Cambridge (UK)

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been sanctioned by the U.S. government.

As this position will have direct and/or indirect access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency information and/or documentation will be required and considered as Tenstorrent moves through the employment process.

WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level through a deeper understanding of their bodies and daily lives.

As a Data Scientist II on the Health Data Science team, you’ll help develop technology at the core of the business. In collaboration with clinicians, research analysts, and product managers, members of the Health Data Science team build features that help members improve their health and better understand their body’s signals. You’ll work with data from a variety of sources including processed time series data generated by sensors on the WHOOP Strap, data collected from “gold-standard” devices, and data entered manually by WHOOP members via the mobile application. Using these data sources, as well as drawing upon clinical theory and evidence, you will design, train, and deploy machine learning algorithms that provide insights to members on topics such as physical fitness, reproductive health, cardiovascular health, and more. We’re looking for someone who has experience developing ML models with large datasets in Python and who is excited about the use of wearables in the health and wellness space.

RESPONSIBILITIES:

• Develop statistical and machine learning models to solve complex problems with data of varying structures
• Conduct research on specific health and physiological problems and integrate clinical research into the development of algorithms
• Productionize models and algorithms with assistance from data and software engineers as appropriate and monitor model performance and the production service in the field
• Work with MLOps engineers to stand up production backend APIs in Python that pass data through inference pipelines with trained machine learning models
• Collaborate with the product team to ensure we’re delivering maximal member-value
• Collaborate with our scientific and medical advisors as needed to ensure we are interpreting the data in a scientifically accurate and medically responsible way
• Reports to the Health Data Science Technical Lead

• Bachelor's Degree in Statistics, Data Science, Applied Mathematics, Computer Science or a related field. Master’s preferred
• 2+ years of full-time professional experience in a related area
• 2+ years experience applying advanced mathematical and statistical techniques
• Strong python programming skills and substantial experience with scientific python packages
• A strong interest in improving people’s health and well-being
• Experience working with processed physiological time series data such as that from PPG, ECG, or EEG sensors is a plus
• Experience deploying services and maintaining live code through logging and monitoring within a production environment is a plus

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers its members to perform at a higher level by providing a deep understanding of the interactions between their unique physiology and chosen behaviors. 

We’re looking for a talented leader for our data science team. This team owns the development of features that enable our members to understand their sleep, recovery, and exercise behaviors. We’re looking for someone with a track record leading a cross-functional technical team, who is able to identify new opportunities to leverage our large and growing physiological dataset.

RESPONSIBILITIES:

• Lead a team of data scientists, providing guidance, mentorship, and professional development 
• Collaborate with your technical leaders and product leadership to strategize, roadmap, prioritize, and execute on team deliverables 
• Coordinate complex data science initiatives across the company 
• Communicate results to technical and non-technical stakeholders
• Develop, manage and scale the teams and their processes; evangelize these processes and best practices across the organization  
• Identify technology gaps and work with the Director of ML Platform to scope solutions that increase team efficiency 
• Identify new research areas and emerging technologies with potential applications to WHOOP's data science initiatives
• Collaborate with engineering teams to integrate data science models into production systems.
• Define and monitor key performance indicators (KPIs) to measure the effectiveness of data science initiatives and track progress towards goals
• Understand how our work impacts the business at large and communicate this back to the team
• Reports to the SVP of Data Science and Research 

• Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field
• 8+ years of full-time professional experience in a related area
• 2+ years of success leading a team of diversely skilled data scientists with a demonstrated ability to lead and inspire a team of data scientists
• Experience managing managers and growing leaders
• High bar for quality and commitment to delivering a world-class experience 
• Consistently positive attitude, highly self-motivated, and able to inspire others to do their best work across the company
• Ability to zoom out and do thoughtful strategic work yet also roll up your sleeves and zoom into important details 
• Expertise in scientific Python, proficiency in data manipulation, analysis, and visualization libraries; deep knowledge of statistical modeling techniques and machine learning algorithms
• Excellent verbal and written communication skills
• Excitement to work in a high energy, high growth startup environment
• Understanding of exercise physiology or athletic experience is preferred

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.

Our vast, physiological dataset enables research at scales that have previously been impractical or prohibitively expensive through traditional academic processes. Research Scientists at WHOOP leverage this dataset to conduct original research for publication and to enable novel features in our consumer product. We are seeking an accomplished analyst with experience publishing original scientific research. The ideal candidate will leverage a wide array of statistical techniques and is excited to bring new insights to the scientific community and to our members.

RESPONSIBILITIES:

• Design studies to enable development of  models and algorithms that translate data into meaningful physiological measurements and insight
• Keep up with the latest developments in wearable technology by reading industry publications, gathering background knowledge, and staying up to date with emerging trends
• Respond to custom data and analysis requests from our partners. Includes both working with the partners to understand what is feasible and executing on the requests
• Provide analysis of data that is both scientifically and statistically sound while also digestible by non-technical clients
• Identify patterns in requests and build out tooling to increase the efficiency of the research process over time
• Write and revise high-quality manuscripts to communicate research findings to a wide range of audiences from peer reviewed academic journals to blog posts geared towards our members
• Manage the end to end research process including obtaining approval from third party IRBs when needed. 
• Manage and mentor a small team of junior research scientists 

• Masters in Statistics, Data Science, Applied Mathematics, Exercise Science, a related field or equivalent experience required. Ph.D. is preferred. 
• Experience with study design
• Experience publishing academic research in peer reviewed journals with preference given to experience with research involving human subjects
• Proficiency in statistics and data visualization required
• Proficiency in machine learning and deep learning preferred 
• Proficiency in scientific Python/R and SQL required
• Ability to formulate hypotheses, draw conclusions and deliver results
• Excellent verbal and written communication skills
• Ability to present findings to both internal and external stakeholders and communicate results to technical and non-technical audiences

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility

N1 Health is an AI Platform company that helps healthcare organizations prioritize, action, and maximize patient and member engagement. N1 Health’s market-leading Applied AI Platform provides healthcare companies with pre-packaged models, curated third party data, and a secure and scalable technology platform that enables the deployment of targeted services at the individual, household, and neighborhood level. Data science-driven insights lead to relevant, specific, and help-first interventions that optimally connect individuals to resources based on their specific needs and the capacity of the system.

We’re working to empower our customers to utilize data science and digital technologies to impact these social determinants of health and to better serve their most vulnerable members and patients. We’re passionate, creative, and motivated and looking for team members who are the same. We are enthusiastic learners and believe fundamentally that this is a two-way street - we’ll invest in your learning and growth, just as you’ll advance the company’s mission and support our clients through your work.

Role Overview

Data Analysts own the analytical deliverables for our clients and partner closely with our Project Managers and Account Directors to present insights, inform business decisions, and drive patient outcomes based on our data.  As a Data Analyst on the Customer Experience team, you will analyze our machine learning models and data assets to generate actionable insights and answer key client questions. Your work will empower clients to run member outreach campaigns and improve health outcomes for individuals and families.

Responsibilities include:

Dig into ambiguous problems to generate insights and answer key questions  

Partner closely with Project Managers to summarize analytical findings and present compelling data-driven recommendations directly to our external clients

Deliver on multiple, concurrent projects in a fast-paced, results-oriented environment

Develop effective relationships as an analytics expert with external client stakeholders

Collaborate with cross-functional teams to deliver best-in-class value for clients

The Ideal Fit

We’re looking for motivated candidates who are ready to learn and grow, and who meet the following requirements:

Self-starter who thrives in ambiguity and is motivated by a fast-paced work environment

Passion for using data to solve complex problems

Energized about working in a customer-facing capacity (this role is ~80% customer-facing)

Deeply curious and driven to dive into new domains

Adaptable to change, think on your feet, and quickly learn new skills

Additional Requirements

• Data-driven; passion for telling a compelling story using data and informing business decisions
• Excellent interpersonal, communication, and presentation skills
• Demonstrated ability to work cross functionally and collaboratively with internal and external stakeholders
• Proactive team-player who doesn’t hesitate to take ownership and initiative
• Experience with SQL or demonstrated ability to learn
• Demonstrated ability to interpret and create data visualizations
• Basic understanding of Python is a bonus
• Degree in a quantitative field, or similar work experience

N1 Health is proud to be an Equal Opportunity Employer. Our vision is to foster an environment in which all N1 Health employees of diverse backgrounds and identities feel supported and empowered through the ongoing development of a shared, inclusive culture. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. For individuals with disabilities who would like to request an accommodation, please email recruiting@n1health.com, and for any questions around diversity, equity, and inclusion, please reach out to the leaders of our internal Equity Group at equity@n1health.com.

N1 Health is an AI Platform company that helps healthcare organizations prioritize, action, and maximize patient and member engagement. N1 Health’s market-leading Applied AI Platform provides healthcare companies with pre-packaged models, curated third party data, and a secure and scalable technology platform that enables the deployment of targeted services at the individual, household, and neighborhood level. Data science-driven insights lead to relevant, specific, and help-first interventions that optimally connect individuals to resources based on their specific needs and the capacity of the system.

We’re working to empower our customers to utilize data science and digital technologies to impact these social determinants of health and to better serve their most vulnerable members and patients. We’re passionate, creative, and motivated and looking for team members who are the same. We are enthusiastic learners and believe fundamentally that this is a two-way street - we’ll invest in your learning and growth, just as you’ll advance the company’s mission and support our clients through your work.

Role Overview

Senior Data Analysts own analytical presentations and deliverables for our clients, and are responsible for advising business decisions and driving patient outcomes based on our data. You will analyze our machine learning models and data assets to proactively generate actionable insights and connect them to key the business needs of our clients. You will work on analyses of medical cost, utilization, health plan enrollment, benefit utilization, and social determinants of health, and you will evaluate the financial impact of member behavior. Your work will empower clients to run member outreach campaigns and to measure and improve health outcomes for individuals and families.

Ideal Fit

• Energized about working in an 80% customer-facing capacity
• Self-starter who thrives in ambiguity and is motivated by a fast-paced work environment
• Passion for using data to solve complex problems
• Adaptable to change, think on your feet, and quickly learn new skills

• Dig into ambiguous problems to generate insights that connect to business priorities
• Lead the summarization of analytical findings and present compelling data-driven recommendations directly to our external clients
• Deliver on multiple, concurrent projects in a fast-paced, results-oriented environment
• Develop effective relationships as an analytics expert with external client stakeholders
• Collaborate with cross-functional teams to deliver best-in-class value for clients

• Passion for telling a compelling, data-driven story to executive-level business stakeholders
• Excellent interpersonal, communication, and presentation skills
• Proactive team-player who takes ownership and initiative
• Demonstrated ability to work cross-functionally with internal and external stakeholders
• 2+ years experience with SQL and analytics tooling, basic understanding of Python
• Intermediate understanding of statistics and probability, including predictive modeling
• 2+ years relevant work experience or master’s degree in quantitative field
• Experience in healthcare or population health is a bonus

N1 Health is proud to be an Equal Opportunity Employer. Our vision is to foster an environment in which all N1 Health employees of diverse backgrounds and identities feel supported and empowered through the ongoing development of a shared, inclusive culture. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. For individuals with disabilities who would like to request an accommodation, please email recruiting@n1health.com, and for any questions around diversity, equity, and inclusion, please reach out to the leaders of our internal Equity Group at equity@n1health.com.

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers its members to perform at a higher level by providing a deep understanding of the interactions between their unique physiology and chosen behaviors. 

We’re looking for a talented leader for our ML platform team. This team owns a suite of tools and services that scientists use during the research, experimentation, and production phases of ML development to enable state of the art data science. You will play a pivotal role in ensuring the reliability, scalability, and performance of our machine learning infrastructure, enabling WHOOP to continue pushing the boundaries of human performance. The ideal candidate has a proven track record leading a cross-functional team, is able to identify new opportunities to leverage our large and growing dataset, and is excited to work with physiological data. 

RESPONSIBILITIES:

• Team Leadership: Build and manage a high-performing engineering team, providing mentorship, guidance, and support to facilitate their professional growth. Foster a collaborative and inclusive team culture
• Data Platform Strategy: Develop and execute the technical vision and roadmap for the data science platform, aligning it with WHOOP's overall business objectives. Drive innovation and identify opportunities to leverage emerging technologies
• Data Infrastructure: Oversee the design, development, deployment, and maintenance of WHOOP's data infrastructure, ensuring its reliability, scalability, and security. Architect robust and efficient systems for data collection, storage, processing, and analysis
• Model Development and Deployment: Collaborate with data science on end to end development and deployment of machine learning models including data preprocessing, feature engineering, model training, model evaluation, and model integration into production systems. Additionally implement and manage model versioning, tracking, and monitoring systems
• Collaboration: Collaborate closely with cross-functional teams, including data scientists, product managers, and software engineers, to understand their requirements and provide scalable solutions. Act as a bridge among the data science and engineering teams, fostering effective communication and knowledge sharing
• Technical Leadership: Stay abreast of the latest trends and advancements, and provide thought leadership to advance the team internally and evangelize the team externally
• Reports to the Senior Vice President of Data Science and Research

• Education: Bachelor's or advanced degree in computer science, engineering, or a related field. A strong academic background in data science and machine learning is desirable
• Experience: Minimum of 10 years of relevant experience, with at least 2 years in a leadership capacity. Prior experience developing and scaling data platforms for machine learning applications required
• Technical Skills: Proficiency in designing and implementing large-scale data processing and end-to-end ML pipelines. Strong expertise in cloud platforms and related services, such as AWS. Proficiency in Python and relevant data processing and manipulating libraries. Familiarity with data governance, security, and privacy requirements
• Leadership Abilities: Demonstrated success in leading and managing high-performing engineering teams. Strong interpersonal skills with the ability to collaborate effectively with diverse stakeholders. Proven track record of driving technical innovation and delivering complex projects on time and within budget
• Passion for Data and motivation to contribute to the advancement of human performance through data-driven insights

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. 

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility.

N1 Health is an AI Platform company that helps healthcare organizations prioritize, action, and maximize patient and member engagement. N1 Health’s market-leading Applied AI Platform provides healthcare companies with pre-packaged models, curated third party data, and a secure and scalable technology platform that enables the deployment of targeted services at the individual, household, and neighborhood level. Data science-driven insights lead to relevant, specific, and help-first interventions that optimally connect individuals to resources based on their specific needs and the capacity of the system.

We’re working to empower our customers to utilize data science and digital technologies to impact these social determinants of health and to better serve their most vulnerable members and patients. We’re passionate, creative, and motivated and looking for team members who are the same. We are enthusiastic learners and believe fundamentally that this is a two-way street - we’ll invest in your learning and growth, just as you’ll advance the company’s mission and support our clients through your work.

Role Overview

The Consultant will have overall responsibility for the day-to-day management of customer execution. You will serve as the liaison between the customer and internal teams, ensuring the customer is on track to achieving stated partnership objectives. As a Consultant on the Customer Experience team, you will be the primary point of contact for your assigned accounts, managing relationships across multidisciplinary teams internally and externally. Reporting to Director of Healthcare & Program Delivery, the Consultant will be accountable for implementation and ongoing client operations, while also assisting with strategic account plans to ensure customer satisfaction, retention and growth. The Consultant will ensure key deliverables are accomplished on time, customer experience is exceptional, and the scope of work per customer is properly executed.

Responsibilities include:

• Act as the expert in customer contract scope, including requirements gathering, deliverables with respective milestones, reporting, and overall project tracking
• Establish strong, lasting relationships across key client stakeholders, serving as the primary daily point of contact
• Regularly monitor and report on customer metrics to ensure they are on track to key partnership outcomes
• Support program analysis, both short term and long term, including program evaluation
• Develop and deliver executive level presentations that are clear, concise and outcomes driven
• Understand current industry trends and apply learnings to customer management

• Energized about working in a customer-facing capacity (this role is ~80% customer-facing)
• Relentless dedication to customer satisfaction
• Passion for using data to solve complex problems
• A foundational understanding of project management and project controls
• Exceptional ability to plan, execute and successfully manage multiple complex projects and competing priorities with professionalism, enthusiasm, and a meticulous eye for detail
• Self-starter who thrives in ambiguity and is motivated by a fast-paced work environment
• Team player who has a “no task is too small” attitude
• Hyper-organized, highly motivated, and eager to learn quickly

• Bachelor’s Degree, with a minimum of 2 years of experience
• Experience in health care preferred, with a minimum understanding of healthcare market landscape
• Understanding of healthcare data (clinical, claims, CRM), care management, Medicare/Medicare Advantage plans, Medicaid, performance measurement, and value-based care
• Strong interpersonal and communications skills that are authentic and empathetic
• Experience partnering with cross-functional teams
• Experience using data to inform decision making
• Excel proficiency (pivot tables, charts, functions)

N1 Health is proud to be an Equal Opportunity Employer. Our vision is to foster an environment in which all N1 Health employees of diverse backgrounds and identities feel supported and empowered through the ongoing development of a shared, inclusive culture. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. For individuals with disabilities who would like to request an accommodation, please email recruiting@n1health.com, and for any questions around diversity, equity, and inclusion, please reach out to the leaders of our internal Equity Group at equity@n1health.com.

Overview

We are a VC backed startup in the applied AI platform space that drives measurable business results for healthcare organizations. We combine detailed consumer data, predictive models, and cloud-native technology to create a holistic picture of every individual to generate meaningful predictions that enable precision in your outreach and interventions. Our experienced Data Science and Customer Experience (CX) Teams transform these predictions into actions that improve your members’ and patients’ health outcomes and drive your financial performance. We get you the results that matter, fast – better health for every one.

Role Description

As the Manager of Go To Operations, you will be working to help N1 Health implement and optimize our Product-Led Growth strategy.  As a leading Health Care AI Platform, N1 is focused on and differentiated by our focus on ensuring that our technology leads to meaningful member/patient outcomes.  Our company has achieved significant growth by working closely with customers to make adopting AI into their core business processes an easy ‘try-buy’ experience.  Working on the Customer Solutions team, you will partner with large Health Care organizations to:

Develop a strategic plan to use AI to provide personalized health care to underserved/unengaged members and householdsDevelop business cases and financial analyses to support the strategic planOperationalize the plan in partnership with customer executivesIdentify new and innovative use cases for our AI and data platformIdentify and plan for potential technology and channel partnerships

This role involves building deep and value-based relationships with a small number of large, high-profile Health Care organizations driving multi-million dollar programs that provides better care for tens of thousands of members.  In our fast-growing company this role is a launch pad to other leadership positions.

Key Responsibilities

Developing strategic and operational plansFinancial analysis at CFO levelDeveloping strong partnerships with senior management at customersAlign with macro market, business and regulatory trends in Health Care

Required Qualifications

·         Bachelor’s degree

·         Strategic understanding of sales and marketing principles and practices

·         At least 4 years of professional experience in private equity, management consulting, or strategy

·         Experience or interest in technology/healthcare

·         Strong interpersonal, communication, presentation, and organizational skills

·         Proven analytical skills and a data-driven mentality

·         Ability to lead and influence cross-functional teams and drive transformational change.

N1 Health is proud to be an Equal Opportunity Employer. Our vision is to foster an environment in which all N1 Health employees of diverse backgrounds and identities feel supported and empowered through the ongoing development of a shared, inclusive culture. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. For individuals with disabilities who would like to request an accommodation, please email recruiting@n1health.com, and for any questions around diversity, equity, and inclusion, please reach out to the leaders of our internal Equity Group at equity@n1health.com. 

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. 

We are seeking a highly skilled and motivated Senior Engineering Program Manager (Data Science & Research) to join our team at WHOOP. As a Senior Engineering Program Manager (Data Science & Research), you will play a critical role in managing and driving the success of our data science, analytics, and research initiatives. You will collaborate closely with cross-functional teams to ensure the smooth execution of development projects and the delivery of high-quality insights and solutions.

RESPONSIBILITIES:

• Drive cross-functional collaboration data science, research, product, design, software engineering, membership services, and hardware so that engineering initiatives are properly prioritized and aligned with business objectives
• Monitor and control program cost, schedule, performance, scope, and risk to ensure product features and services are delivered on time and within budget
• Create and maintain program plans in close coordination with Data Science, Research, Product and Engineering Managers, including timelines, budgets, change logs, and risk mitigation plans
• Identify and resolve program issues, including resource conflicts, scope changes, and timeline adjustments
• Communicate key developments, updates, and risks to stakeholders in a timely manner 
• Drive continuous process improvement within the software engineering organization, including developing and implementing best practices, standards, and procedures for program management 
• Adapt and evolve to the needs of the team through the project or program lifecycle

• Experience in engineering program management, with a proven track record of delivering complex software engineering initiatives on time and on budget 
• Basic knowledge of Data Science and Research best practices
• Experience leading cross-functional teams,with particular emphasis on data science and research initiatives 
• Strong analytical and problem-solving skills, with the ability to think strategically about complex technical challenges 
• Strong communication and collaboration skills, with experience working with stakeholders at all levels of the organization 
• Experience with managing mobile app development 
• Experience with agile methodologies 
• Excellent project management skills, including the ability to manage multiple projects simultaneously.  
• Experience with wearable devices, cloud technologies, distributed systems, and/or microservices architectures is a plus 
• Experience with Jira and Google Workspace
• Scrappy and resourceful. When something needs to get done, you find a way to make it happen 
• Experience working in a fast startup environment and able to adapt to change 
• Passion for health and fitness 

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility

Stride Funding is a venture-backed, mission-driven start-up transforming access to alternative and higher education. StartupBoston awarded Stride Funding “Startup of the Year” and we are only continuing our positive trajectory forward. Stride believes in the power of education to fuel economic mobility and recognizes the limitations of society's current approach to funding education. At Stride, we seek to increase educational access by leveraging alternative data sets, innovative modeling techniques, and school-supported funding to offer outcomes-driven funding products on the basis of students' future career trajectories, rather than their historical family credit profile. You can play a role in creating meaningful change for our customers, community, and company every day by doing work you truly love, while surrounded by a team that shares your passion!

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​As part of the growing Data Science team at Stride, the Senior Data Scientist will work with the VP of Engineering & Data Science to build a range of full-stack Data Science solutions to support the Company’s pricing and underwriting functions. Specifically, your work will be essential to Stride’s core mission of improving educational access to high-quality higher and alternative education programs for students of all backgrounds. The position provides a unique and exciting opportunity to make a meaningful impact on multiple algorithmic and analytics initiatives that support the Company’s core mission. The Senior Data Scientist will lead a number of initiatives that are part of Stride’s Data Science roadmap and actively contribute to all relevant data and infrastructure efforts to deliver timely solutions that enable Stride’s mission. The Senior Data Scientist will be working closely with the Engineering organization on delivering Data Science solutions that are tightly integrated within Stride’s engineering infrastructure. Given that crucial partnership, the position requires a rigorous understanding of and advanced experience with various software engineering concepts and practices, as well as the ability to work and contribute directly within a scrum-based engineering team on delivering frequent releases of various production-critical solutions and services. In this role, you will have substantial exposure to company executives, who will seek your input on major company initiatives. Success in this role will require close partnership with the CEO, COO, VP of Engineering& Data Science, Director of Finance, and others across the organization to proactively identify analytical needs, validate hypotheses, and collaborate to turn analysis into action.

Responsibilities

• ​Independently manage various full-stack Data Science projects and deliverables
• Assist in managing and overseeing the daily delivery of applicant-level origination attribution, forecasting, data visualization, and reporting information
• Own, develop, and extend various components of Stride’s pricing and underwriting analytics stack to increase accuracy, velocity, and actionability of all performance measurement efforts
• Test, implement and deploy new ML methodologies to drive deeper insights across alternative data sets to improve pricing and income prediction
• Identify new data sources to enhance the accuracy of our various pricing and underwriting models
• Provide comprehensive and consistent reporting and visualizations on the performance and accuracy of various ML algorithms being developed for deployment to production
• Contribute to the development and deployment of A/B testing methodologies and solutions
• Train and mentor junior Data Science team members and help with developing team training materials
• Actively contribute to Stride’s Data Science internal code libraries and pricing and risk-related IP
• Stay abreast of new developments, methods, and technologies in analytics to expand Stride’s repository of effective solutions
• Inspire innovation by uncovering new problems and opportunities

• Bachelor's degree required, Master's degree or Ph.D. preferred, in the field requiring extensive quantitative and/or technical rigor
• 5+ years of experience in full-stack Data Science / Machine Learning
• 3+ years of experience building full-stack Data Science solutions—from rigorous data pipelines to front-end web applications delivering access to Data Science solutions (ML/Visualizations/Interactive UIs)
• 5+ years of experience programming in Python—additional experience in other object-oriented programming languages (Java, C++) is a definite plus
• 2+ years of experience with Python web frameworks (Flask or Django). FastAPI experience a plus.
• Demonstrated expertise in building rigorous SQL code and relying on Python SQL toolkits such as SQL Alchemy (Core / ORM), Django ORM
• Proven ability to lead and contribute to design and deployment of microservices to integrate Data Science solutions within broader production software systems
• Solid experience with CI/CD best practices
• Deep foundation across computer science theory fundamentals--data structures, algorithms, databases, and software design principles, etc.
• Demonstrated ability to dig into findings to a detailed level, translate trends and opportunities into actionable strategies, and tie analytical results to tactical recommendations
• Experience with developing and deploying ML algorithms and solutions that provide actionable insights and quantifiable indicators of effectiveness
• Ability to communicate complex ideas and solution
• High standards for code quality, ability and interest in learning new tech
• Familiar with data warehousing / data lake best practices and industry standards
• Superior analytical and data analysis skills, with background in statistical research and analysis methods
• Outstanding written and verbal communication skills, including comfort presenting to executives
• Courage to stand up for own perspective, even when it may not be the most common opinion​

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. 

As part of the Data Science Coaching team, you will develop technology at the core of WHOOP's business. You will build statistical and machine learning models that coach members to understand how their behaviors affect their bodies, as well as encourage positive behavior change to help members achieve their goals. You will work closely with physiology experts, data scientists, product leaders, and ML engineers. We are looking for a skilled data scientist who is passionate about developing data-driven features that improve our members’ health, wellness, and performance. 

RESPONSIBILITIES:

• Develop statistical and machine learning models underpinning member-facing coaching features, e.g., explaining factors driving sleep and recovery, and recommending interventions to optimize their performance
• Access and explore data from existing databases to formulate testable hypotheses and potentially new features
• Collaborate with data, ML, and ML Ops engineers to productize algorithms 
• Collaborate with our Product team to design features that deliver maximal member-value

• Bachelor's Degree in Statistics, Data Science, Applied Mathematics, Computer Science, or a related field
• Master's preferred
• 2+ years experience applying advanced statistical, data science, and ML techniques (e.g., causal inference techniques, neural networks, Bayesian statistics)
• Strong Python (including object-oriented programming) and SQL
• Proficiency in data visualization
• Ability to formulate hypotheses, draw conclusions, and deliver results
• Ability to communicate findings and results to technical and non-technical stakeholders
• Please mention if you have experience in human physiology, exercise physiology, or athletic experience!

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility

N1 Health is an AI Platform company that helps healthcare organizations prioritize, action, and maximize patient and member engagement. N1 Health’s market-leading Applied AI Platform provides healthcare companies with pre-packaged models, curated third party data, and a secure and scalable technology platform that enables the deployment of targeted services at the individual, household, and neighborhood level. Data science-driven insights lead to relevant, specific, and help-first interventions that optimally connect individuals to resources based on their specific needs and the capacity of the system.

We’re working to empower our customers to utilize data science and digital technologies to impact these social determinants of health and to better serve their most vulnerable members and patients. We’re passionate, creative, and motivated and looking for team members who are the same. We are enthusiastic learners and believe fundamentally that this is a two-way street - we’ll invest in your learning and growth, just as you’ll advance the company’s mission and support our clients through your work.

Role Overview

A successful candidate in this role will be passionate about how AI can drive outcomes and impacts for members and believes AI requires a technology enabled service delivery model to be effectively deployed in health care. This role will work across our Customer Solutions, Customer Experience, Engineering and Data Science teams to support and boost outcomes for our clients.

This position requires familiarity with Product Led Growth concepts, willingness to listen to and understand both customer and internal teams needs and the energy and determination to own and drive strategic initiatives as a individual contributor in a very fast growing startup environment.

Responsibilities:

Strategic:

Understand how our customer leverage our solutions to better document their needs, evolve our product led growth buying process, map out an evolving competitive landscape and turn insights into messages and collateral that drives deals forward

Partner with our delivery organization to publish customer case studies and run our customer advisory board and create and deliver marketing collateral

Product Definition

Collaborate with engineering, data science and sales teams to articulate clear product definition, customer value and execute effective product communication

Thrive in a data driven organization with measurable objectives and OKRs and aggressive goals

Content And Collateral

Lead internal and external publication of our technology and services offerings to train, sell and scale our offerings

Collaborate with product, engineering and customer experience teams to create product collateral around Use Case guides, videos, workshops, case studies, and other product related content

Build community among our key customer leaders via our customer advisory board, feature development meeting researchers and engineers, both in the academic sphere as well as in the startup ecosystem via social media, email campaigns, content hub, etc

Required Experience / Skills

2+ years experience in product marketing, or product management working with tech-enabled services

Growth mindset with willingness to take on ambiguous assignments, make informed decisions, and lead projects to evolve the organization

Either (a) technical consulting experience or (b) technical delivery experience across software engineering or data science, or an engineering field.

Excellent written and verbal communication and comfort with quick reviews and turn-around of collateral

Customer-facing experience and a customer-first mindset

Experience leveraging data to drive decision making processes

Ready to experience the high and lows of a fast growth startup

Ideal Experience

A bachelor’s degree in Engineering, CS, or other Engineering field

Experience with Product Led Growth Strategies

Algorex Health is proud to be an Equal Opportunity Employer. Our vision is to foster an environment in which all Algorex employees of diverse backgrounds and identities feel supported and empowered through the ongoing development of a shared, inclusive culture. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. For individuals with disabilities who would like to request an accommodation, please email recruiting@algorexhealth.com, and for any questions around diversity, equity, and inclusion, please reach out to the leaders of our internal Equity Group at equity@algorexhealth.com

At WHOOP we’re on a mission to unlock human performance. WHOOP empowers members to optimize their performance through a deep understanding of their bodies and daily lives.

WHOOP Labs, ground zero for new product innovation at WHOOP, is seeking a highly professional and customer-focused individual to join our team. As the first point of contact for visitors and guests, you will play a crucial role in creating a positive and welcoming experience. You will also be an ambassador of the company, able to convert non-members to WHOOP members and help existing members get the most out of their membership. The ideal candidate will possess exceptional interpersonal skills, a polished demeanor, and an obsession with delivering top quality service to our study participants.

Responsibilities:

• Be present full-time, in-person in WHOOP HQ (Boston, MA) so as to be able to greet each participant as they arrive for their studies 
• Provide an exceptional level of customer service by ensuring participants' needs are met promptly and efficiently
• Oversee the sale of WHOOP memberships, accessories, and other merchandise to participants who come into the lab
• Educate non-member lab participants on the value of WHOOP membership and generate sign ups in the WHOOP free trial initiative
• Oversee the participant check-in process, ensuring key documentation is appropriately completed
• Uphold confidentiality and handle sensitive information with discretion
• Work collaboratively with the WHOOP Labs teams to ensure the lab is running optimally and participants are directed appropriately
• Daily management of GSuite systems (Google Voice, Gmail) for communicating with participants
• Maintain a clean, organized, and aesthetically pleasing reception and subject changing area that reflects the company's high standards, including ensuring subject amenities are stocked and pleasantly presented
• Serve as an ambassador of the company, help guests and study participants with WHOOP questions and troubleshooting, directing them to other resources for more complex inquiries and ensuring timely follow up
• Experiment with new ways to elevate the WHOOP Labs participant experience

• Previous retail, customer service, or hospitality experience encouraged
• A desire to interact with others on a daily basis in a fast paced environment.
• Strong organizational mindset, detail oriented with exceptional follow up skills
• Strong written and verbal communication skills
• A positive and friendly attitude with a genuine desire to provide excellent service
• Possess basic computer skills
• Willingness to own manual/housekeeping aspects of the role
• Ability to remain calm and composed in high-pressure situations, demonstrating problem-solving skills and adaptability
• Strong work ethic, reliability, creativity, and punctuality
• Knowledge or interest in technology and the wearable industry is a plus; experience using WHOOP preferred 
• Passion for health and wellness 

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility.

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers its members to perform at a higher level by providing a deep understanding of the interactions between their unique physiology and chosen behaviors. 

We’re looking for a talented leader for our WHOOP Labs teams. This department owns the broadly defined validation of our hardware including end-user experience and comfort, signal quality, and real world stress testing. WHOOP Labs is also responsible for collecting field data that enables the Data Science, Soft Goods, and Signal Processing teams to build novel products and algorithms. To serve the company’s diverse testing and validation needs, WHOOP Labs completes tens of thousands of data collections a year, this data shapes every aspect of the product and directly contributes to advancing WHOOP technology. 

We’re looking for someone with a proven track record leading and growing a cross-functional team, who is excited to work with our members, with our engineering departments, and isn’t afraid to roll up their sleeves and get sweaty. This position is in-person in Boston, MA.

Responsibilities:

• Communicate results to technical and non-technical stakeholders
• Advocate for the needs of WHOOP Labs and its team members. 
• Develop, manage and scale the WHOOP Labs teams and their processes; evangelize these processes and best practices across the organization
• Partner with stakeholders from engineering, product, apparel, signal processing, and data science to evaluate roadmapping tradeoffs and efficiently manage lab resources
• Ensure clear communication across the team and stakeholders.  
• Define and monitor key performance indicators (KPIs) to measure the effectiveness of lab initiatives and track progress towards goals
• Build the WHOOP Labs brand
• Reports to the SVP of Data Science and Research 

• Bachelor’s Degree in a STEM field, exercise science, biomechanics, or a related field
• 6+ years of full-time professional experience in a related area
• 2+ years of success leading a diversely skilled team, experience managing a dispersed team preferred
• Demonstrated ability to scale and lead a world class team
• Experience in experimental design and R&D
• Understanding of best practices regarding human research, including how to obtain IRB approval for new research projects; research ethics, data privacy, and consent. 
• Track record of successful project management, including resource allocation, timeline management, and risk mitigation
• Strong technical skills; proficiency with Microsoft Excel or basic scripting
• Excellent verbal and written communication skills. 
• Strong organizational skills, ability to plan ahead while still being flexible and able to work around challenges
• Strong networking and collaboration skills, with experience in building partnerships and engaging with external stakeholders
• Ability to present findings to stakeholders and communicate results to all colleagues
• Excitement to work in a high-energy, fast-paced startup environment
• Understanding of exercise physiology and athletic experience is preferred

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. 

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility.

Company Description

Tamr is the enterprise data mastering company trusted by large enterprises like Blackstone, the US Air Force, Toyota, and Thermo Fisher. The company’s patented software platform uses machine learning supplemented with human feedback to master and prepare data across myriad silos to deliver previously unavailable business-changing insights. With a co-founding team led by Andy Palmer (founding CEO of Vertica) and Mike Stonebraker (Turing Award winner) and backed by top-tier investors such as NEA and GV, Tamr is transforming how companies get value from their data.

Job Description

Tamr DataOps Engineers are highly technical data scientists and engineers who understand all aspects of the business. We know how to pitch the product to anyone from software architects to business executives. Often we’re working on the most challenging problems in the enterprise and we have to dig deep to understand the business value and deliver technical solutions. As the company’s outward-facing, technical resource, the work of the whole group is varied. We deploy full production rollouts, implement pilot solutions, build prototypes, do direct product development, and collaborate with sales on accounts. DataOps engineers are expected to be highly efficient and resourceful when leading these projects.

Qualifications

We are looking for someone who loves data engineering, and has a genuine interest in being customer-facing. We are building and selling a human-in-the-loop machine learning platform for the enterprise to help companies automatically unify and categorize their data to drive new analytic insight. This requires collaborating closely with the customer, including understanding their needs, delivering tangible results, and enabling them to use our product.

Challenges that make this job interesting:

• The problem we’re solving is hard - enterprise data is messy and there is a lot of it. It’s our job to derive value from this data in a flexible and scalable way
• Every customer is different - while there are similar use cases that we see repeatedly, every account presents new challenges and we need to be able to adapt quickly to each new situation

• You have strong data science and/or software engineering experience
• You are excited about working for a scaleup and being a key contributor
• You enjoy working with customers and have excellent interpersonal skills
• You have machine learning knowledge/experience

• BS, MS or PhD degree in Computer Science, Physics, Mathematics or similarly quantitative/technical field
• Polyglot programmer, with experience using technologies such as Python, Java, R, SQL, Airflow, dbt, MonteCarlo, Immuta, Alation, data.world, and Great Expectations
• Willingness and ability to travel to client locations on occasion
• Candidates for this position must be a U.S. Citizen or Permanent Resident

• Deep understanding of data integration and transformation patterns such as messaging, ETL, ELT, Data Pipelining, Metadata Management, Data Cataloging,
• Hands-on experience with large distributed systems from an architecture and development perspective
• Hands-on experience with traditional data warehouse technologies
• Hands-on experience with data visualization tools such as PowerBI, Tableau, Qlik, Spotfire, Cognos, Business Objects, D3
• Machine learning knowledge/experience  with toolkits such as MLlib
• Experience with any of the following technologies: Hadoop, Spark, ElasticSearch, Java, AWS, GCP
• DevOps and/or cloud solutions deployment experience
• Advanced quantitative technical degree (MS or PhD) strongly preferred

N1 Health is an AI Platform company that helps healthcare organizations prioritize, action, and maximize patient and member engagement. N1 Health’s market-leading Applied AI Platform provides healthcare companies with pre-packaged models, curated third party data, and a secure and scalable technology platform that enables the deployment of targeted services at the individual, household, and neighborhood level. Data science-driven insights lead to relevant, specific, and help-first interventions that optimally connect individuals to resources based on their specific needs and the capacity of the system.

We’re working to empower our customers to utilize data science and digital technologies to impact these social determinants of health and to better serve their most vulnerable members and patients. We’re passionate, creative, and motivated and looking for team members who are the same. We are enthusiastic learners and believe fundamentally that this is a two-way street - we’ll invest in your learning and growth, just as you’ll advance the company’s mission and support our clients through your work.

Role Overview

The Associate Consultant will have responsibility for the day-to-day management of customer execution by both independently managing customers, as well as supporting lead Consultants in management of complex accounts. You will serve as the liaison between the customer and internal teams, ensuring the customer is on track to achieving stated partnership objectives. As an Associate Consultant on the Customer Experience team, you will be the primary point of contact for your assigned accounts, managing relationships across multidisciplinary teams internally and externally. The Associate Consultant will be accountable for implementation and ongoing client operations, while also assisting with strategic account plans to ensure customer satisfaction, retention and growth. The Associate Consultant must ensure key deliverables are accomplished on time, customer experience is exceptional, and the scope of work per customer is properly executed.

Responsibilities include:

• Become the expert in customer contract scope, including requirements gathering, deliverables with respective milestones, reporting, and overall project tracking.
• Establish strong, lasting relationships across client project stakeholders, serving as the primary daily point of contact.
• Regularly monitor and report on customer metrics to ensure they are on track to key partnership outcomes.
• Support program analysis, both short term and long term, including program evaluation.
• Support delivery of executive level presentations that are clear, concise and outcomes driven.
• Understand current industry trends and apply learnings to customer management.

• Energized about working in a customer-facing capacity (this role is ~80% customer-facing)
• Relentless dedication to customer satisfaction
• Passion for using data to solve complex problems
• Interest in project management and project controls
• Growing ability to plan, execute and successfully manage multiple projects and competing priorities with professionalism, enthusiasm, and a meticulous eye for detail
• Self-starter who thrives in ambiguity and is motivated by a fast-paced work environment
• Team player who has a “no task is too small” attitude
• Hyper-organized, highly motivated, and eager to learn quickly

• Bachelor’s Degree, with a minimum of 1-2 years of experience (can include internship experience)
• A basic understanding of the health care market landscape
• Strong interpersonal and communications skills that are authentic and empathetic
• Experience working with multiple teams
• Passion for using data to inform decision making

N1 Health is proud to be an Equal Opportunity Employer. Our vision is to foster an environment in which all N1 Health employees of diverse backgrounds and identities feel supported and empowered through the ongoing development of a shared, inclusive culture. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. For individuals with disabilities who would like to request an accommodation, please email recruiting@n1health.com, and for any questions around diversity, equity, and inclusion, please reach out to the leaders of our internal Equity Group at equity@n1health.com.

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

Tenstorrent is looking for an experienced Machine Learning engineer to support our growing customer base as they build Deep Learning models on Tenstorrent hardware.  If you're enthusiastic about Machine Learning, are a competent software engineer, and enjoy working with other people, this is your opportunity to be at the bleeding edge of AI processing.  You'll get exposure to a broad array of problem types from different industries and be at the forefront of our customer engagements.

Responsibilities

• Designing and developing demonstration machine learning and deep learning systems
• Model benchmarking
• Running machine learning tests and experiments on behalf of customers
• Implementing appropriate ML algorithms
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Develop novel ML models and primitives that take advantage of Tenstorrent’s breakthrough architecture to deliver orders of magnitude performance & efficiency improvements

• Degree in Electrical/Computer Engineering, Computer Science, Machine Intelligence, Engineering Science, or Math;
• 5 years of experience as a Machine Learning Engineer or similar role (a fleshed out GitHub repo a plus)
• Experience with algorithms, data structures, and software development in Python and C/C++.
• Deep knowledge of math, probability, statistics and algorithms
• Experience in solving business problems with Machine Learning models
• Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus

Location:

We have presence in Toronto, Boston, Austin, Santa Clara, Portland, and Raleigh. We are open to remote candidates on a case-by-case basis.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been sanctioned by the U.S. government.

As this position will have direct and/or indirect access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency information and/or documentation will be required and considered as Tenstorrent moves through the employment process.