# Senior Machine Learning Engineer (Data Science Algorithms)

**Company:** [WHOOP](https://hotfix.jobs/companies/whoop)
**Location:** Boston, MA
**Role:** ML Engineering
**Experience:** 4+ years
**Skills:** Python, Machine Learning, AWS, GCP, CI/CD, Ml Pipelines, Backend Development, APIs, Time Series, MLOps
**Posted:** 2025-09-25

> Designs, builds, and productionizes scalable ML systems using physiological data to deliver personalized health metrics. Requires 4+ years ML engineering experience, strong Python, cloud deployment, and backend skills.

## Job Description

## Responsibilities
- Create, improve, and maintain production services that provide analysis for health features in collaboration with data scientists and MLOps engineers
- Collaborate with data engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance
- Work alongside data scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency
- Collaborate with researchers and product teams to align model development with physiological insights and member impact
- Participate in on-call rotations for data science services, ensuring uptime and performance in production environments

## Qualifications
- Bachelor's Degree in Computer Science, Data Science, Applied Mathematics, or a related field (**Master’s preferred**)
- **4+ years** of professional experience as a ML engineer, applied researcher, or software engineer with a focus on ML systems
- Strong coding skills in **Python** with a track record of writing clean, production-quality code
- Experience designing, deploying and operating ML inference systems at scale (real-time streaming and/or large-scale batch)
- Strong fundamentals in backend/service development (**APIs**, reliability, monitoring, debugging) as it relates to serving ML models
- Experience deploying and maintaining ML systems on cloud platforms (**AWS** or **GCP**), including **CI/CD** and observability practices
- Familiarity with applied ML development (frameworks, evaluation criteria, performance validation) and translating prototypes into production systems

## Preferred
- **2+ years** of experience applying advanced mathematical and statistical techniques
- Experience working with **time series data** (wearable, physiological, or high-frequency sensor data)

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