Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,319 postings in the last year. Stated ranges, not salaries paid.
Develop machine learning models that improve the ad platform across the board
Write production code to generate recommendations
Run large-scale, complex experiments to measure their effects
Lead a multi-domain innovation roadmap with product and business leaders
develop models that improve our platform across the board
write production code to generate recommendations
perform large scale and complex experiments to understand their effects
work with product management and business leadership to prioritize an innovation roadmap across multiple technical domains
You should have experience developing and implementing machine learning algorithms
You'll have an excellent understanding of scalable architectures
thrive working in Agile environments
ideally within the ads space
Actively hiringFirst seen by us 1 day 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 1,319 postings in the last year. Stated ranges, not salaries paid.
Day 1
Early. Similar jobs usually come down between day 6 and day 71.
At Apple, jobs usually come down by about day 42.
From 4,626 similar postings that came down, and 404 of Apple’s. Coming down is not always a hire.
448 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 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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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Cupertino
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