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.
Build infrastructure for training large-scale generative models
Benchmark and prototype algorithm choices against training and deployment infrastructure
Work with cross-functional algorithm design and infrastructure engineers
building infrastructure for training, adapting and deploying large-scale generative models
to benchmark, prototype and steer algorithmic choices to best fit our training and deployment infrastructure
working closely with a cross functional team of algorithm design and infrastructure engineers
We are seeking engineers experienced in building infrastructure for training, adapting and deploying large-scale generative models
Open 4 monthsWe first saw this posting 148 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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 148
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,339 similar postings that came down. Coming down is not always a hire.
443 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Check the employer’s posting for the current role and application details.
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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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San Diego
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