Senior ML Platform Engineer, WHOOP
Wearable health and fitness devices
Open for applications
Wearable health and fitness devices
1001+ employees
Open for applications
1001+ employees
Company mission
To unlock human performance and Healthspan.
Role
Who you are
- 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
What the job involves
- We are seeking a highly skilled Senior ML Platform Engineer to join our ML Platform team
- This role is pivotal in scaling our ML infrastructure and enabling the efficient deployment and monitoring of machine learning models across cloud environments
- As a senior contributor, you will act as a force multiplier—building robust abstractions, platforms, and tooling to supercharge our Data Science and AI teams
- You will design and implement scalable systems that operationalize machine learning at WHOOP with speed, reliability, and precision
- Your work will directly support our use of AI to enhance team efficiency, automate decision-making, and personalize member experiences
- 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
Our take
WHOOP develops wearable health-tracking devices designed to help athletes optimise their performance. Its technology continuously monitors recovery, sleep, and training hours to fine-tune both individual and team performance. Unlike competitors that primarily track exercise data, WHOOP's holistic approach includes metrics like heart rate variability, which can influence more effective and healthier exercise routines.
By focusing on a subscription model that includes the cost of the physical device, WHOOP differentiates itself from competitors that charge a higher one-time fee for their products. This model provides ongoing value and encourages users to stay engaged with their health data.
WHOOP's comprehensive monitoring of strain and recovery has given it a competitive edge, even as other brands like Fitbit have incorporated similar features. Beyond sports performance, WHOOP has conducted extensive research on predicting premature births, aiming to integrate these findings into their app. This commitment to broader health applications demonstrates WHOOP's dedication to advancing wearable health technology.
Steph
Company Specialist at Welcome to the Jungle
Insights
1% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Aug 2021
$200m
SERIES F
Oct 2020
$100m
SERIES E
Total funding: $404.8m
Company benefits
- Flexible Vacation: WHOOP has a flexible vacation policy that allows you to unwind, laptop-free, when you need it most.
- Focus on Family: We offer 18 weeks paid parental leave, plus an additional 2 weeks to gradually return to work.
- Get Invested: In addition to a competitive base salary and 401k, you're eligible to receive stock options to share in the future of WHOOP.
- WHOOP +1: Everyone on the team gets a complimentary WHOOP membership—plus another membership to share with a loved one.
- Health Matters: Our competitive benefits package covers medical, dental, and vision, in addition to mental health services, life and disability insurance, and more.
- Find Your Fit: Full-time employees get $500 a year to spend on wellness in whatever way they see fit, from fitness classes and memberships, to recovery services.
- It Pays to Sleep: Our Sleep Performance Program incentivizes employees to get more sleep. Log an average sleep performance of 85% or higher for the month and get a $100 bonus.
- Location, Location, Location: You can’t beat the views from the rooftop of One Kenmore Square. Feel inspired daily as you work, enjoy free snacks and coffee, and collaborate in the heart of Boston.
Company HQ
West Fens, Boston, MA
Leadership
Will Ahmed
(Founder & CEO)After graduating from Harvard with a Bachelor of Arts in Government and Economics, Will went on to hold Summer Analyst roles at Allen & Company and Lindsay Goldberg before founding WHOOP in 2012.
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