Software Engineer, Machine Learning

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

63% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Software Engineer, Machine Learning Boston, MA 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

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