Software Engineer, Machine Learning

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

RESPONSIBILITIES:

1. Build and design tools and infrastructure to support Data Scientists at Whoop as they develop, deploy, and monitor machine learning models. Duties include:
2. Develop and maintain Whoop’s full stack internal toolset including VueJS, Java, Postgres.
3. Work closely with Data Science team members to support model development, training, and monitoring.
4. Contribute to new software feature ideation, planning, and development.
5. Consistently deliver features and PRs with an iterative approach.
6. Follow and introduce best practices around software testing, observability, and monitoring.
7. Perform troubleshooting with logging and monitoring tools such as DataDog, Sentry, and Kibana.

QUALIFICATIONS:

1. Master’s Degree in Computer Science, Data Science, or closely related field, plus 2 years’ experience developing and delivering machine learning models into production, or in the alternative, a Bachelor’s Degree in Computer Science, Data Science or closely related field, plus 5 years’ experience developing and delivering machine learning models into production.
2. Experience, which may have been gained concurrently with primary requirement above, must include 2 years of experience with:
3. Front end development in a modern framework including/ similar to Vue or React.
4. API design and development with languages that include Java, C++, Rust, or Python.
5. Using SQL for relational database design and development.
6. Troubleshooting utilizing AWS Cloudwatch, DataDog, Sentry or Kibana.
7. Utilizing Cloud computing platforms including AWS, Azure, or GCP.
8. Working with data science scripting language of Python or R.

This is a hybrid position working 3 days/week from the company office in Boston, MA and 2 days/week working from home.

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