Battery Machine Learning Algorithm Engineer
San Diego, CAJobSeen 2w agoSeen in employer's feed 2 days ago
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At a glance
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Job overview
The Battery Machine Learning Algorithm Engineer will develop novel machine learning algorithms, control strategies, and on-device implementations to improve the utility and intelligence of battery systems. The role requires experience in machine learning, control theory and optimization, and MATLAB/Simulink. Apple prefers candidates with a PhD and relevant industry experience, along with expertise in mathematical modeling, embedded systems, machine learning frameworks, physics-informed approaches, and real-time optimization.
Skills & qualifications
Skills
Qualifications
Full job description
Role Number: 200690516-3543
Summary
Envision what you could do here. At Apple, we believe new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
Description
We are looking for an engineer who will develop novel machine learning algorithms, control strategies, and on-device implementations to improve the utility and intelligence of battery systems.
Minimum Qualifications
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Experience in machine learning (RNNs, LSTMs, Transformers), control theory and optimization (MPC, Kalman filters, convex/nonconvex optimization)
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Experience in MATLAB/Simulink
Preferred Qualifications
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PhD and 3+ years relevant industry experience
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Mathematical modeling experience for nonlinear dynamical systems
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Experience in C/C++ for embedded systems and Python & ML frameworks (PyTorch, TensorFlow)
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Experience with physics-informed neural networks or hybrid physics/ML approaches
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Experience with MPC implementation and real-time optimization
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
How this job compares
Set against the 6,346 open Machine Learning Engineer jobs on Olive Jobs, counted October 31, 2026.
- Pay
- This postingNot listed
- California median$175–260K/yr1,395 salary ranges
- California median$50–78/hr34 hourly ranges
- Openings
- Olive Jobs lists 1,876 open Machine Learning Engineer jobs in California and 6,346 across the US. 7% of them nationwide are listed as remote or flexible.
- Hiring the most in California
- Apple (this employer)169 open
- Google112 open
- Capital One59 open
- Experience
- Machine Learning Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (5,143 postings).
- Education
- 2,511 of the 6,346 open Machine Learning Engineer jobs (40%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 31, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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