Senior ML Ops Engineer
TLDR
Own Airflow and MLflow pipelines, AWS deployments, and monitoring for models trained on clinical records from 400,000+ patients.
About Circadia Health
Circadia Health is a growth-stage healthcare AI company on a mission to prevent avoidable hospitalizations and transform senior-care operations. Our Circadia Intelligence Platform combines:
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Contactless sensing that monitors respiration and motion with medical-grade accuracy
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Native predictive models that detect 85% of preventable adverse events several days in advance
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Enterprise integrations that operationalize predictions directly inside EHR, care-coordination, billing, and compliance workflows
Today, our technology touches 40,000+ post-acute patients daily across skilled-nursing, home-health, and home-care networks. We are backed by leading healthcare and AI investors and headquartered in El Segundo, CA.
Why this role exists
Our models decide whether a care team walks into a room tonight. They train on 70,000 years of continuous vital signs joined to clinical records from more than 400,000 unique patients. When one of them degrades it does not surface as an error rate. It surfaces as a patient who deteriorated and nobody was alerted, which means the platform that trains, ships, and watches those models carries real clinical weight. You will own it: the pipelines, the path to production, and the monitoring that catches degradation before a clinician would.
What you'll own
Pipeline orchestration. Training, evaluation, and deployment workflows in Airflow, with automated retraining, promotion, and failure recovery.
Deployment and release. Models onto our platform on AWS including Batch, with versioning and rollback through MLflow, maturing toward shadow and canary releases.
Tracking and lineage. MLflow registry, conventions for artifacts and metadata, and dataset versioning so training runs are reproducible.
Monitoring and drift. Drift, prediction quality, and degradation alerting on models where degradation is clinically consequential.
ML compute and cost. AWS compute for training and inference, infrastructure-as-code, and cost optimization.
Hands-on model work. Contributing to model development alongside the ML engineering team, as a secondary focus behind the platform.
Compliance. HIPAA and SOC 2 across pipelines, with sound PHI handling in training data, artifacts, and outputs.
Required Qualifications
Preferred
Circadia Health is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by law.
Benefits
Health Insurance
100% company-paid medical, dental, and vision coverage
Company social and team-building events
Culture: hard-working, mission-driven, and collaborative — with weekly and monthly social events like yoga, beach bonfires, and Wednesday/Friday team lunches.
Paid Time Off
Competitive time off with pay policies including vacation, sick days, and company holidays
Stock Options
Meaningful employee stock options
Circadia Health is a healthcare AI company dedicated to preventing avoidable hospitalizations and streamlining senior care operations. Our Circadia Intelligence Platform leverages contactless sensing and predictive analytics to provide actionable insights for healthcare providers, impacting over 40,000 post-acute patients daily. We're transforming patient monitoring with technology that integrates seamlessly into existing healthcare systems.
- Founded
- Founded 2016
- Employees
- 51-200 employees
- Industry
- medical devices
- Funding stage
- Series A
- Total raised
- $410K raised