Software Engineer, Machine Learning

RESPONSIBILITIES:

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

QUALIFICATIONS:

• 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.
• Experience, which may have been gained concurrently with primary requirement above, must
• include 2 years of experience with:
• Front end development in a modern framework including/ similar to Vue or React,
• API design and development with languages that include Java, C++, Rust, or Python.
• Using SQL for relational database design and development.
• Troubleshooting utilizing AWS Cloudwatch, DataDog, Sentry or Kibana.
• Utilizing Cloud computing platforms including AWS, Azure, or GCP.
• Working with data science scripting language of Python or R.