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Job description
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 data-driven features to provide a personalized, contextual, and adaptable coaching experience, guiding members toward their goals. Close collaboration with data scientists, product managers, software engineers, physiology experts will be integral to your role. You will be responsible for large-scale, cross-functional collaboration projects powering personalized experiences while coaching and mentoring teammates in ML and AI research.
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. Your work will set the bar for the entire Data Science team
Ship high quality, high impact Member experiences working as strong collaborative partner to Product, Software, and other key teams, working through any cross-functional complexities that arise
Operate comfortably in the ambiguous Member and technical problems we face, providing guidance and evidence-backed solutions to move the work forward
Be an active mentor and technical leader to data science and ML practitioners within Whoop, working closely with Data Science leadership to create a strong learning environment for the team
Promote 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 a passion for delivering amazing user experiences at scale
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 iterate
You have experience training and/or evaluating deep learning models
You have a bias for shipping products and experiences, bringing a strong collaborative spirit to get things done
You have hands-on experience implementing production machine learning systems (e.g., representation learning, causal inference, recommender systems, deep learning) in Python or a similar language
You keep up with state of the art research by reading papers, attending conferences, and participating in research communities
Understanding of human physiology is a benefit
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Worksite address
boston, MA, 02298, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.