Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Cambridge
Live, first seen by us 86 days agoInvent and develop new imaging algorithms to improve the photography experience
Perfect imaging pipelines using computer vision and machine learning techniques
Build optimized implementations of camera pipeline algorithms
passionate about inventing and developing new imaging algorithms to improve the photography experience
perfecting our imaging pipelines using advanced computer vision, computational photography, and machine learning techniques
Combining innovative algorithms with optimized implementations
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 1,279 postings in the last year. Stated ranges, not salaries paid.
Day 86
Up longer than most. Similar jobs usually come down between day 6 and day 70.
Well past Apple’s usual: its jobs come down by about day 39.
From 4,481 similar postings that came down, and 363 of Apple’s. Coming down is not always a hire.
443 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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Cambridge
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