Senior Machine Learning Engineer at Circadia Health
El Segundo, CA
$150,000–$220,000
Aug 12, 2026
El Segundo, CA
Sep 24, 2026
What this job asks for AI summary
This role centers on owning clinical prediction models end-to-end at a healthcare AI company whose core product is a platform that forecasts adverse events in post-acute patients using continuous physiological sensor data joined to EHR records. The engineer will handle everything from feature engineering on time-series vital signs and structured clinical data, to label definition, evaluation infrastructure, threshold selection, subgroup robustness analysis, and contributing to regulatory validation studies. It suits a senior ML practitioner with a strong production track record and comfort operating in a clinically consequential, data-noisy environment.
Senior level · 5+ years · Los Angeles-Long Beach-Anaheim, CA · Full-time
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How this req sits in the market our data
Roughly 840 people in the Los Angeles-Long Beach-Anaheim, CA area plausibly meet what this posting asks for (data scientists). range 310–1,100
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $132,593 (middle half $93,359–$172,124).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 15, 2026. It is a model, not a headcount.
Why we read it this way (5)
The role sits at the boundary between Data Scientist (15-2051) and Software Developer (15-1252): it requires deep ML modeling and statistical evaluation work (pointing to 15-2051) but also explicitly demands building production evaluation/backtesting infrastructure and shipping models with MLOps support (pointing to 15-1252). 15-2051 was chosen as primary because model design, clinical evaluation, and statistical rigor are the dominant day-to-day activities.
Several required skills — 'deep learning frameworks', 'classical ML', 'model calibration', 'backtesting/model regression infrastructure' — are stated as capabilities rather than named tools. No specific framework (e.g. PyTorch, TensorFlow, scikit-learn) is called out by name in the posting, so they are captured at the capability level rather than as named products.
The posting is headquartered in El Segundo, CA (Los Angeles metro) but does not explicitly state whether the role is on-site, hybrid, or remote; remote is set to false as a conservative default given the HQ-anchored framing.
No compensation range is stated in the posting.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): time-series modeling, backtesting / model regression infrastructure.
Read the full posting
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