Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,394 postings in the last year. Stated ranges, not salaries paid.
Design and develop benchmarks and evaluators for models and agents
Build simulation environments for testing AI behavior
Build prompt and context optimization pipelines
Contribute datasets, environments, and reward signals to improve model quality
Work with product and foundation model teams to close the improvement loop
help design and develop benchmarks, evaluators, simulation environments
simulation environments, and prompt and context optimization pipelines
prompt and context optimization pipelines that drive quality improvements
contributing datasets, environments, and reward signals that drive model and agent quality
collaborate with product teams and the foundation model team to close the loop between observation and improvement
highly skilled and experienced machine learning engineer
Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,394 postings in the last year. Stated ranges, not salaries paid.
Day 7
Early. Similar jobs usually come down between day 8 and day 76.
At Apple, jobs usually come down by about day 48.
From 5,461 similar postings that came down, and 462 of Apple’s. Coming down is not always a hire.
483 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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No pay amount identified in the saved description.
Seattle
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.