MLOps Engineer: Reliable ML for Wearables & Mobile

Clair Health, Inc.; Menlo Park (CA); On-site; USD 140,000 - 230,000; Full time

Benefits offered by this job

Competitive salary

Equity

Health, dental and vision insurance

401(k)

Paid time off and company holidays

Catered team lunches

Job summary

Clair Health is building the first wearable for hormone-aware health, a wrist-worn band and app tracking hormones, sleep, HRV and activity. We seek an MLOps Engineer to own training, packaging, deployment, monitoring and rollbacks for models across cloud and device, ensuring reliability as software evolves.

You will ship models to mobile devices, optimize data pipelines, and maintain robust observability while scaling for thousands of members in a small Menlo Park team.

Qualifications

• 2 to 5 years in MLOps, ML infrastructure, platform or backend engineering.
• Strong Python, containers and orchestration, and real experience with a major cloud provider.
• You've built CI/CD pipelines and run production data pipelines or job queues.
• Reliability habits: alerts that mean something, runbooks, and post-incident fixes that stick.
• You want to work in person with a small team in Menlo Park.

Responsibilities

• Deploy and run ML services and batch processing jobs in a containerized cloud environment.
• Own the pipeline from sensor data to stored biomarkers, including retries and backfills when a model changes.
• Keep builds and deployments fast, lean and reproducible.
• Build model versioning, reproducible training and release gates, with regression tests against known-good outputs.
• Make rollouts and rollbacks safe and boring.
• Own the path for shipping models to mobile devices, and ensure on-device and cloud results agree.
• Monitor models and data in production: input quality, drift, latency, failures and cost.
• Manage training compute and keep cloud spend in check.

Skills

Python

Containers

Orchestration

CI/CD

Production data pipelines

Job description

Clair Health is building the first wearable for hormone-aware health, a wrist-worn band and app tracking hormones, sleep, HRV and activity. We seek an MLOps Engineer to own training, packaging, deployment, monitoring and rollbacks for models across cloud and device, ensuring reliability as software evolves.

You will ship models to mobile devices, optimize data pipelines, and maintain robust observability while scaling for thousands of members in a small Menlo Park team.