Senior Machine Learning Engineer

Circadiahealth

El Segundo

On-site

Who this role is best for

A natural match if you have experience building clinical prediction models with EHR data and deploying them in production.

Best fit for

Candidates with experience deploying ML models in healthcare and a strong grasp of time-series data
— “Experience with time-series or sequential data”
Individuals who have worked on clinical prediction models and understand the nuances of ground truth in healthcare
— “Define what you are actually predicting with clinical teams, build adjudication workflows, and understand the noise in your targets.”
Candidates who have built evaluation infrastructure for ML models and can explain limitations to non-technical stakeholders
— “Experience building evaluation, backtesting, or model regression infrastructure”

Things to consider

This role requires a deep understanding of model evaluation and handling class imbalance in clinical settings
— “Evaluation practice covering calibration, class imbalance, and temporal leakage”
The candidate must be prepared to work with large-scale production data and SQL systems
— “Strong SQL and experience with production data”

How to stand out

Highlight model validation work and regulatory submissions in your resume and interview stories
— “Contribute to validation studies and regulatory submissions”
Emphasize your ability to define and refine clinical prediction targets with stakeholders
— “Define what you are actually predicting with clinical teams”
Showcase experience with both classical ML and deep learning frameworks in your technical narrative
— “Strong Python and modern deep learning frameworks, plus fluency in classical ML”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

design, train, and evaluate clinical prediction models
build evaluation infrastructure
ship with ML Ops support

Typical background

5+ years of ML experiencestrong Python and deep learning frameworksexperience with time-series data

Skills & requirements

Required

Model DevelopmentFeature EngineeringEvaluation InfrastructureClinical Prediction ModelsProduction And Evidence

Preferred

Healthcare MLClinical PredictionEHR DataPhysiological SignalsEarly-warning Systems

Stack & domain

PythonSQLDeep LearningMachine LearningTime-seriesEvaluation InfrastructureClinical PredictionEHR DataPhysiological SignalsEarly-warning SystemsModel ValidationSubgroup AnalysisCommunicationTeamworkProblem SolvingAttention To DetailCritical ThinkingLeadershipHealthcareAIHealthcare AI

About the role

Original posting from Circadiahealth via Lever

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:
At most companies the ML engineer supports the product. Here the model is the product, and its accuracy is the ceiling on what the whole platform can deliver.
What we sell is the judgment layer on top of a corpus most teams will never get access to: 70,000 years of continuous vital signs joined to clinical records from more than 400,000 unique patients. You will own the models built on it end to end: what they predict, how they are evaluated, where the threshold sits, and when they ship. Ground truth is retrospective chart review, so your labels are imperfect and you will need to know exactly how.
What you'll own:
Model development. Design, train, and evaluate clinical prediction models, with feature engineering across physiological time series and structured EHR context.
Labels and ground truth. Define what you are actually predicting with clinical teams, build adjudication workflows, and understand the noise in your targets.
Evaluation and testing infrastructure. Build the eval harnesses, backtesting, and regression suites that let us ship new model versions and new configurations with confidence, including how flagging behaves and whether explanations hold up.
Clinical evaluation. Sensitivity, specificity, lead time, and alert burden as the care team experiences them. Threshold selection is a clinical decision as much as a statistical one.
Robustness. Find where performance varies across facilities, settings, and demographics, and quantify it.
Production and evidence. Ship with ML Ops support on serving and deployment, monitor real-world performance, and contribute to validation studies and regulatory submissions.
Required Qualifications:
5+ years building ML models that reached production and were used for real decisions
Strong Python and modern deep learning frameworks, plus fluency in classical ML
Experience with time-series or sequential data
Evaluation practice covering calibration, class imbalance, and temporal leakage
Experience building evaluation, backtesting, or model regression infrastructure
Strong SQL and experience with production data
Experience presenting model behavior and limitations to non-technical stakeholders
Preferred:
Healthcare ML, clinical prediction, EHR data, physiological signals, or early-warning systems
Model validation supporting regulatory submission, or subgroup analysis in a clinical setting
First-author publications, significant open source, competition results, or a high-bar research or engineering background
Compensation:
As a full-time Senior Machine Learning Engineer, you will be employed by Circadia Health, Inc. The anticipated annual base salary range for this full-time position is $150,000 - $220,000. 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 employee's 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.

Source: Circadiahealth careers (Lever)