WHOOP · 5 months ago
Senior ML Platform Engineer
Boston, MA
Full-time
Onsite
Senior Level
5+ years expWHOOP is on a mission to unlock human performance and healthspan, empowering members through a deeper understanding of their bodies. They are seeking a highly skilled Senior ML Platform Engineer to scale their ML infrastructure and enable efficient deployment and monitoring of machine learning models across cloud environments.
Consumer ElectronicsFitnessSportsWearablesWellness
Responsibilities
Architect, build, and maintain scalable ML infrastructure in cloud environments (e.g., AWS), optimizing for speed, observability, cost, and reproducibility
Develop and evolve MLOps platforms and frameworks that standardize model deployment, versioning, drift detection, and lifecycle management at scale
Implement end-to-end CI/CD pipelines for ML models using orchestration tools (e.g., Prefect, Airflow, Argo Workflows), ensuring robust testing, reproducibility, and traceability
Partner closely with Data Science, Sensor Intelligence, Data Platform teams to streamline model development, deployment, and monitoring workflows
Build and maintain real-time and batch inference infrastructure, supporting diverse use cases from physiological analytics to personalized feedback loops for WHOOP members
Design and collaborate on automated observability tooling (e.g., for model latency, data drift, accuracy degradation), integrating metrics, logging, and alerting with existing platforms
Leverage AI-powered tools and automation to reduce operational overhead, enhance developer productivity, and accelerate model release cycles
Contribute to internal platform documentation, SDKs, and training materials, enabling self-service capabilities for model deployment and experimentation
Continuously evaluate emerging technologies and deployment strategies, influencing WHOOP’s roadmap for AI-driven platform efficiency and scale
Qualification
Required
Bachelor's or Master's Degree in Computer Science, Engineering, or a related field; or equivalent practical experience
5+ years of experience in software engineering with a focus on ML infrastructure, cloud platforms, or MLOps
Strong programming skills in Python, with experience in building distributed systems and REST/gRPC APIs
Deep knowledge of cloud-native services and infrastructure-as-code (e.g., AWS CDK, Terraform, CloudFormation)
Hands-on experience with model deployment platforms such as AWS SageMaker, Vertex AI, or Kubernetes-based serving stacks
Proficiency in ML lifecycle tools (MLflow, Weights & Biases, BentoML) and containerization strategies (Docker, Kubernetes)
Understanding of data engineering and ingestion pipelines, with ability to interface with data lakes, feature stores, and streaming systems
Proven ability to work cross-functionally with Data Science, Data Platform, and Software Engineering teams, influencing decisions and driving alignment
Passion for AI and automation to solve real-world problems and improve operational workflows
Company
WHOOP
WHOOP is a fitness tech company that offers wearables that track sleep, recovery, and performance.
501-1000 employees
H1B Sponsorship
WHOOP has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (32)
2024 (18)
2023 (15)
2022 (5)
2021 (17)
2020 (6)
Funding
Current Stage
Late StageTotal Funding
$404.75MKey Investors
SoftBank Vision FundIVPFoundry Group
2021-08-30Series F· $200M
2020-10-28Series E· $100M
2019-11-12Series D· $55M
Leadership Team
Will Ahmed
Founder & CEO
Aurelian Nicolae
Co-Founder & Chief Hardware Engineer
Recent News
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Company data provided by crunchbase