Software Engineer, ML Platform (ML Training) at Zoox
Foster City, MI
$182,000–$257,000
Jul 19, 2026
Foster City, MI
Jul 21, 2026
What this job asks for AI summary
This role sits on the ML Training Platform team, responsible for building and maintaining the infrastructure that powers large-scale model training across an autonomous vehicle company. Day-to-day work involves developing a shared training framework, distributed training infrastructure, and model lifecycle management tools used by multiple applied research teams. It suits engineers with hands-on ML infrastructure experience, particularly with deep learning frameworks and cloud environments.
Mid level · 2+ years · San Jose-Sunnyvale-Santa Clara, CA · Full-time
Pay in the description: $182,000–$257,000
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 1,300 people in the San Jose-Sunnyvale-Santa Clara, CA area plausibly meet what this posting asks for (software developers). range 970–2,000
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.
What the occupation pays Median $217,796 (middle half $177,469–$231,052). 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 Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role sits at the boundary between software development (building a training framework, ML tools, deep learning infrastructure) and infrastructure/platform operations — classified as Software Developers (15-1252) because the primary deliverable is building and shipping the ML Training framework and platform tooling, not merely operating existing systems.
PyTorch is listed first among training frameworks (PyTorch, DeepSpeed, JAX, Ray); the others are captured as alternatives since the JD treats them interchangeably with 'like' / 'etc.'
AWS is listed as the cloud provider example ('like AWS'); Azure and GCP are added as well-known interchangeable alternatives.
Distributed model training and model lifecycle management tools appear only under 'Bonus Qualifications' and are marked preferred accordingly.
The posted salary range ($182,000–$257,000/year) is described as covering a range of levels Zoox is considering; actual compensation will vary by level and location. RSUs (Amazon and Zoox Stock Appreciation Rights) and a potential sign-on bonus are also part of the package but are not captured in the comp fields.
No explicit seniority level appears in the title or framing; the 2+ years minimum experience requirement supports a Mid-level classification despite the broad salary band.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): model lifecycle management.
Read the full posting
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