MLOps Engineer II

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. It’s popular among Navy SEALs, healthcare workers, Fortune 500 CEOs, and professional athletes - if you’ve been to Fenway Park you’ve likely seen our office sign overlooking the field!
As an MLOps Engineer on the Data Science team, you'll help develop and deploy the technology at the core of WHOOP's business. By putting data science in production, your work will become direct product features that have immediate impacts on hundreds of thousands of people. The team’s mandate is to build ML/AI models that coach members on how their behaviors affect their body and (similar to a human coach) what lifestyle changes might better support their personal goals. This includes coaching on sleep, exercise, and many different behaviors. Your collaborators will include physiology experts, data scientists, and software engineers. We are looking for a skilled engineer who is truly passionate about hardening data science into scalable product features and making a difference in the health, wellness, and performance of others.

RESPONSIBILITIES

• Work closely with data scientists and software engineers to productize, deploy, and maintain models and algorithms in production.
• Develop and maintain testable, predictable, comprehensible Python services, following and introducing best practices around testing, observability, and monitoring.
• Re-factor production codebase to improve performance and reduce complexity.
• Respond to production alerts and issues. Leverage logging and monitoring to identify root cause and implement solutions.

QUALIFICATIONS

• Bachelor's Degree in Computer Science, Data Science, Applied Mathematics, or a related field
• 3+ years relevant experience
• Proficiency in developing and testing production Python code
• Experience developing scalable APIs to serve machine learning models
• Comfort troubleshooting with tools for logging & monitoring (e.g. DataDog, Sentry, Kibana)
• Experience applying statistics, optimization, or machine learning techniques
• Excellent verbal and written communication skills
• Ability to translate member and product needs to technical requirements

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