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 future battery management system (BMS) technologies
Build new classes of battery systems involving algorithms, architectures and products
develop future BMS technologies
developing new class of battery systems involving algorithms, architectures and products
The ideal individual will be proficient in this field
has experience developing and commercializing robust battery management solutions for consumer, industrial, telecom or automotive products
Actively hiringFirst seen by us 3 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 1,319 postings in the last year. Stated ranges, not salaries paid.
Day 3
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.
Add your resume to compare the role’s scope, tools and requirements with your experience.
Complete your application on jobs.apple.com. The employer’s form will show what is required.
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Yes. We’ve followed 3 other Battery Algorithm ML Engineer jobs there since October 2026. All 3 are still up.
Large employers often post one title for several teams, so these can be separate openings.
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Cupertino
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.