At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives.
As a member of the Data Science team, you will develop cutting-edge, data-driven features that provide a personalized, contextual, and adaptable coaching experience, guiding our members toward their goals. You will work closely with data scientists, product managers, and software engineers to bring these features to life.
RESPONSIBILITIES: In this role you will be creating exceptional Member experiences by designing, developing, and implementing large-scale ML and AI models underpinning personalized insights and guidance toward health and fitness goals, leveraging Generative AI technologies when appropriate. Your work will set the bar for the entire Data Science teamServe as a player-coach technical leader, managing and mentoring a small team of data scientists while actively contributing to research and development effortsEvaluate large language models (LLMs) to determine their effectiveness and applicability for various features via offline and online experiments, monitoring, and performance evaluations of the LLM-based features in production, ensuring they meet quality and performance standardsCollaborate with data engineers and ML Ops engineers to ensure data quality and availability for model evaluation and product development, and to transition algorithms and models from research to production, addressing scaling, cost, and other considerations for deploying online models efficiently and effectivelyStay current with and implement the latest advancements in ML, DL, generative AI, and LLMs to continually improve system accuracy and member experienceShip high quality, high impact Member experiences working as a strong collaborative partner to Product, Software, and other key teams, working through any cross-functional complexities that ariseOperate comfortably in the ambiguous Member and technical problems we face, providing guidance and evidence-backed solutions to move the work forwardPromote and model best practices for design and implementation of ML model development, testing, evaluation, etc., both inside the team as well as throughout Whoop. Keep an eye on balancing Member needs and business needs (e.g., cost-effectiveness)QUALIFICATIONS: You have 8+ years of experience in end-to-end model creation, from training and evaluating to deploying in a production environment, with a philosophy to ship and iterateYou have a deep understanding of machine learning frameworks (e.g., TensorFlow, PyTorch)You have proven hands-on experience with advanced statistical models and production machine learning systems (e.g., representation learning, causal inference, generative models, deep learning) using PythonYou possess excellent coding skills in Python (including object-oriented programming) and SQLYou excel in communication, teamwork, and project managementYou can convey complex technical concepts to both technical and non-technical stakeholders.You are passionate about emerging technologies and have strong analytical and problem-solving skillsYou have demonstrable experience researching, deploying, or evaluating LLM systemsYou are committed to agile software processes, data-driven development, reliability, and disciplined experimentationDomain knowledge in human physiology, exercise physiology, or athletic experience is a plusThis 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. 