Senior Machine Learning Engineer at Seasats
San Diego, CA
$180,000–$250,000
Jul 29, 2026
San Diego, CA
Sep 24, 2026
What this job asks for AI summary
This role owns the full lifecycle of perception ML models for autonomous maritime surface vehicles — from data curation and training through edge deployment and real-world validation. The work spans computer vision, model optimization for compute-constrained embedded hardware, and building the data pipelines and evaluation frameworks that support onboard autonomy. It suits an experienced ML engineer with a strong production track record in perception and edge deployment.
Senior level · 7+ years · San Diego-Chula Vista-Carlsbad, CA · Full-time
Pay in the description: $180,000–$250,000
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How this req sits in the market our data
Roughly 15 people in the San Diego-Chula Vista-Carlsbad, CA area plausibly meet what this posting asks for (data scientists). range 3–25
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $133,871 (middle half $95,474–$167,770). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 1, 2026. It is a model, not a headcount.
Why we read it this way (6)
The role sits at the intersection of ML research/modeling (15-2051) and production software engineering for embedded systems (15-1252). The primary day-to-day emphasis on training, fine-tuning, and deploying perception models tips it toward Data Scientists, but the strong edge-deployment and software-integration responsibilities make 15-1252 a credible alternative.
TensorRT and ONNX Runtime are listed as examples of inference runtimes within a single requirement; they are captured as a single skill with TensorRT as primary and ONNX Runtime as an alternative.
The posting requires 7+ years in ML overall and 5+ years in production perception systems; the overall years minimum is set to 7 (the stated overall floor). The 5-year perception sub-requirement is noted here but cannot be represented as a separate field.
Export control language restricts applicants to U.S. persons (citizens, LPRs, asylees/refugees) but does not require a formal security clearance.
No formal degree is stated as a hard requirement anywhere in the posting.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): path planning.
Read the full posting
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