Senior ML Ops Engineer
Job Location:
El Segundo, CA - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Department:
Job Summary
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:
Contactless sensing that monitors respiration and motion with medical-grade accuracy
Native predictive models that detect 85% of preventable adverse events several days in advance
Enterprise integrations that operationalize predictions directly inside EHR care-coordination billing and compliance workflows
Today our technology touches 40000 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.
Our models decide whether a care team walks into a room tonight. They train on 70000 years of continuous vital signs joined to clinical records from more than 400000 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.
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.
- 4 years in MLOps ML engineering DevOps or a closely related infrastructure role
- Strong Python for pipeline development tooling and automation
- Hands-on Airflow and a model registry such as MLflow
- Deploying and operating ML workloads on AWS (Batch EC2 S3 IAM CloudWatch)
- Containerization infrastructure-as-code SQL and Snowflake
- Building monitoring and alerting for production systems
- Enough model development experience to contribute alongside ML engineers
- Model serving frameworks or data versioning tools
- Healthcare medical devices or clinical data systems
- Significant open source systems that outlived your tenure or a high-bar engineering background
As a full-time Senior ML Ops Engineer you will be employed by Circadia Health Inc. The anticipated annual base salary range for this full-time position is $150000 - $220000. The base range is determined by role and level and placement within the range will depend on a number of job-related factors including but not limited to your skills qualifications experience and location.
Annual salary is only one part of an employees total compensation package at Circadia Health. We also offer:
- Meaningful employee stock options
- 100% company-paid medical dental and vision coverage
- 401(k)
- Competitive time off with pay policies including vacation sick days and company holidays
- Impact: your work will influence care decisions for tens of thousands of seniors every day.
- Culture: hard-working mission-driven and collaborative with weekly and monthly social events like yoga beach bonfires and Wednesday/Friday team lunches.
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.
Required Experience:
Senior IC
About Company
Enabling early detection of respiratory failure powered by contactless sensing, clinic software, and artificial intelligence.
