Sr. MLE, Prime Video ML Platform at Amazon
Seattle, WA
$168,100–$261,500from the description
Jul 17, 2026
Seattle, WA
Jul 21, 2026
What this job asks for AI summary
A senior engineering role focused on building and evolving the machine learning platform that underpins personalization across Prime Video's content catalog. Day-to-day work spans designing training pipelines, real-time inference systems, feature stores, and model serving infrastructure at large scale. The role also involves technical leadership — mentoring engineers and shaping the team's long-term platform strategy alongside scientists and product stakeholders.
Senior level · 5+ years · Seattle-Tacoma-Bellevue, WA · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
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 640 people in the Seattle-Tacoma-Bellevue, WA area plausibly meet what this posting asks for (software developers). range 480–1,000
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 $170,959 (middle half $135,720–$216,519). 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 (6)
Multiple work locations are listed (Sunnyvale CA, New York NY, Seattle WA) with different salary bands; the compensation range shown ($168,100–$261,500/yr) reflects the Seattle floor and the Sunnyvale ceiling across all three locations.
The ML framework requirement lists JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT as a group under Basic Qualifications. These are presented as a collective knowledge requirement rather than strict alternatives; PyTorch is emitted separately as the most universally expected framework, with the others captured as alternatives on the JAX entry.
The 'Knowledge of Machine Learning and LLM fundamentals' requirement is a conceptual gate rather than a named tool; it is captured via the LLMs skill entry.
The preferred qualifications section mentions 5+ years of full SDLC experience and a Bachelor's degree in computer science or equivalent. The degree is listed only as preferred and explicitly allows equivalents, so the degree requirement is set to None.
Python is inferred as a likely primary language given the ML/infrastructure context and the ML frameworks listed, but no specific language is named in the JD; it is marked preferred accordingly.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): software development, system design.
Read the full posting
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