Platform Engineer – AI/ML Infrastructure
Deepgram$160,000 - $220,000/year
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, HealthcareIndustries
Requirements
- 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
- Prepared to relocate if necessary to work out of the Boston, MA office
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
Skills
AWS
MLOps
Prefect
Airflow
Argo Workflows
CI/CD
ML Infrastructure
Model Deployment
Versioning
Drift Detection
Observability
Logging
Alerting
Inference Infrastructure
Whoop
Wearable fitness tracker with personalized insights
About Whoop
WHOOP offers a fitness membership that focuses on improving personal health and performance through a wearable device called the WHOOP Strap 3.0. This device continuously collects physiological data, including heart rate, sleep patterns, and recovery levels, to provide users with personalized recommendations on their daily activity, sleep needs, and readiness for performance. Unlike many competitors, WHOOP operates on a subscription model, where users pay a fee to access the membership, which includes the device and continuous insights through the WHOOP app. This model not only provides a steady revenue stream but also fosters a strong community among users, encouraging engagement through teams, challenges, and social features. The goal of WHOOP is to help users optimize their health and performance while minimizing injury risk.
Boston, MassachusettsHeadquarters
2012Year Founded
$393.7MTotal Funding
SERIES_FCompany Stage
Data & Analytics, HealthcareIndustries
501-1,000Employees
Benefits
Take Time Off: Time outside of the office is important for sleep, strain and recovery! Our PTO plan encourages members to take time off in order to come back refreshed.
Live a Healthy Lifestyle: Our competitive benefits package includes premium medical, dental, and vision coverage for employees and their dependents. Life and disability insurance are also available.
Feel Invested: In addition to a competitive base salary and 401k, you're eligible to receive stock options to share in the future of WHOOP. Work means more when you have personal stake. You have ownership in what we are building.
Eat Well: Keep hunger at bay with endless snacks in our fully stocked kitchen. Enjoy catered team lunches on Friday, and even a cold brew keg.
Know The Product: We want you to understand and experience the product firsthand. We offer you a WHOOP strap and membership at no cost.
Be Active: Take advantage of our office gym and on-site showers! WHOOP also offers a $500 yearly wellness perk for fitness classes and memberships.
Be Present: It’s important to be present when bringing home a new family member. Take care of your loved ones with 12 weeks paid parental leave, plus an additional 2 weeks to gradually return to work.
Love Where You Work: Sitting in the heart of Fenway, our beautiful office overlooks Fenway Park. A prime location for great food, not to mention catching a Sox game, too!
Work Hard, Play Harder: If we don't already have a club here that fits your lifestyle and interests, you're encouraged to start one. Share your passions with others at work, or discover new ones!
Risks
Increased competition from brands like Oura and Fitbit threatens market share.
Privacy concerns over data collection could lead to regulatory challenges.
Economic downturns may affect consumer willingness to pay subscription fees.
Differentiation
WHOOP offers 24/7 physiological data tracking with its WHOOP Strap 3.0.
The company provides personalized health insights for athletes and fitness enthusiasts.
WHOOP's subscription model includes a community aspect for user engagement.
Upsides
WHOOP's partnership with Cristiano Ronaldo boosts brand visibility and credibility.
Expansion into 56 markets enhances WHOOP's global presence and growth potential.
Collaborations with brands like Assos strengthen WHOOP's position in sports technology.
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