Software Engineer, Machine Learning

Duties:

 

Design, develop, and deploy WHOOP’s core technology by implementing machine learning and
artificial intelligence models into production systems to generate insights and
recommendations for member behavior and lifestyle improvement. Build and design tools, models,
algorithms, and infrastructure to support Data Scientists in developing, deploying, and monitoring
machine learning models. Develop and maintain WHOOP’s full-stack internal toolset, including
VueJS, Java, and Postgres. Collaborate with Data Science team members to
support model development, training, and monitoring activities. Develop and maintain production-
ready Python services, ensuring testability, reliability, and scalability, and implement best
practices around testing, observability, and monitoring. Refactor production codebase to improve
performance, reduce complexity, and enhance maintainability. Participate in the design, planning,
and development of new software features for WHOOP’s platform. Deliver software features
through iterative development and code review processes (e.g., pull requests).
Perform troubleshooting and debugging using logging and monitoring tools such as DataDog,
Sentry, and Kibana.

 

Requirements:

 

Bachelor’s degree in Computer Science, Data Science, Software Engineering or related technical
field (or foreign degree equivalent) and 5 years of experience developing and delivering machine
learning models and algorithms into production. Will also accept a Master’s degree in Computer
Science, Data Science, Software Engineering or related technical field (or foreign degree
equivalent) and 2 years of experience developing and delivering machine learning models and
algorithms into production. Required Skills: At least 2 years of experience with front end
development using modern frameworks (Vue or React); At least 2 years of experience with API
design and development using Java, C++, and Python; At least 2 years of experience using SQL for
relational database design and development; At least 2 years of troubleshooting experience
utilizing AWS Cloudwatch, DataDog, Sentry or Kibana; At least 2 years of experience using a
cloud computing platform such as AWS, Azure, or GCP; At least 2 years of experience developing,
testing, and deploying production Python code. Partial telecommuting permissible from normal commuting distance.