---
title: 'Senior ML Ops Engineer at Circadia Health'
canonical: 'https://feeny.ai/job/senior-ml-ops-engineer-circadia-health-el-segundo-pty63q2gj5r5'
type: 'job'
last_seen: '2026-09-10'
---

# Senior ML Ops Engineer at Circadia Health

- **Company:** Circadia Health
- **Location:** El Segundo, CA
- **Compensation:** $150k–$240k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-13
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.lever.co/circadiahealth/9f2647d2-5067-4a32-8386-1d1b7fdba027

## Job description

## 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 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

- 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

## Preferred

- 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

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.

## About Circadia Health

## Company Overview
- **One-liner**: Circadia Health provides the world’s first FDA-cleared contactless patient monitoring platform that uses radar and AI to detect early signs of clinical deterioration in senior care settings.
- **Entity Type**: Private (total funding $100.4M, multiple rounds including seed, convertible notes, and product crowdfunding)
- **Headquarters**: Los Angeles, California, United States
- **Founded**: 2016
- **Founders**: Michal Maslik (CTO & Co-Founder); other co-founders not publicly named in available sources

## Core Business
- **Primary industry**: Medical Equipment Manufacturing / Healthcare Technology
- **Target customers**: B2B – skilled nursing facilities (SNFs), senior living communities, home health agencies, and healthcare providers serving elderly populations
- **Mission statement**: “Reduce rehospitalizations by helping providers see changes in their patient’s health before they worsen and disrupt treatment.” [circadia.health/about](https://circadia.health/about)

## Products & Services
- **C200 Device**: FDA-cleared contactless monitoring device that uses radar and proprietary algorithms to detect heart rate, respiratory rate, bed exits, and motion. Includes two-way audio for patient communication. [circadiahealth.com](https://circadiahealth.com/)
- **Clinical Intelligence Platform**: Cloud-based software providing predictive analytics, real-time alerts, and daily risk reports powered by AI and machine learning. Integrates with electronic health records.
- **Virtual Nurse Monitoring Service**: A team of virtual nurses reviews device data and patient records 24/7/365 to deliver personalized, predictive risk alerts, enabling early intervention.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding of $100.4M (latest reported convertible note of $100M in 2017, plus seed and earlier rounds) [linkedin.com](https://www.linkedin.com/company/circadia)
- **Notable Investors**: Village Global (led seed round, backed by Bill Gates, Jeff Bezos, Mark Zuckerberg) [apply.workable.com](https://apply.workable.com/circadia-health/)
- **Growth Signals**:
  - 30K+ patients monitored per day [circadiahealth.com](https://circadiahealth.com/)
  - 30% reduction in rehospitalizations reported
  - 78 employees (+35.6% YoY), with presence in 6 countries [linkedin.com](https://www.linkedin.com/company/circadia)
  - Active hiring: 10 open positions, job postings up 400% YoY
  - $316K yearly ROI per 100-bed SNF claimed

## Competitive Advantages
- **First-mover with FDA clearance**: Only contactless monitoring system cleared by the FDA for heart rate, respiratory rate, and motion without any body-worn sensors.
- **Proprietary radar + AI**: Hardware, algorithms, and software all built in-house, creating a vertically integrated solution.
- **Predictive, not reactive**: Platform detects changes hours to days before clinical events (e.g., CHF, COPD exacerbation, sepsis, falls).
- **Covered by Medicare**: Reimbursable in skilled nursing facilities, lowering adoption barriers.

## Strategic Focus
- **Proactive senior care**: Continue reducing hospital readmissions and fall risks through early detection.
- **Clinical evidence generation**: Hiring a Senior Scientist for Real-World Evidence and Outcomes to publish rigorous studies proving impact.
- **Scaling clinical services**: Expanding virtual nurse monitoring and telehealth NP roles to support providers.
- **Global expansion**: Already operating in the UK, Pakistan, Germany, and Qatar.

## Why Work Here
- **Culture**: Mission-driven team of engineers, scientists, and physicians focused on transforming senior care. Emphasis on diversity and inclusion. [circadia.health/about](https://circadia.health/about)
- **Work model**: Hybrid – 2-3 days per week in the El Segundo, CA office for most roles.
- **Compensation**: Transparent salary ranges (e.g., Nurse Practitioner $120K–$160K, Senior Scientist $165K–$205K) [linkedin.com](https://www.linkedin.com/company/circadia)
- **Engineering culture**: In-house development of hardware, AI, and software; opportunities to work on cutting-edge radar and machine learning technology.
- **Growth**: Rapidly scaling team (+35.6% YoY) with roles across engineering, clinical, customer success, and data.

## Sources
1. [circadiahealth.com](https://circadiahealth.com/)
2. [circadia.health/about](https://circadia.health/about)
3. [linkedin.com/company/circadia](https://www.linkedin.com/company/circadia)
4. [apply.workable.com/circadia-health](https://apply.workable.com/circadia-health/)
5. [jobs.lever.co/circadiahealth](https://jobs.lever.co/circadiahealth)

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