Battery ML & Control Engineer Device Learning
Listed on 2026-10-18
-
Engineering
Electrical Engineering, AI Engineer (Applied/Software)
Apple Inc. seeks an Battery Machine Learning Algorithm Engineer to develop novel ML algorithms for battery health and power estimation, and on-device implementations to enhance system intelligence and efficiency.
You will design advanced control strategies (MPC, adaptive, learning-based) and optimize battery management in real time, collaborating with cross-functional teams to balance runtime, safety, and thermal constraints while ensuring robust performance across temperatures and aging.
We are currently recruiting a Battery ML & Control Engineer
- On-Device Learning for our team in San Diego, CA, United States.
We are seeking a motivated Battery ML & Control Engineer
- On-Device Learning to join Apple Inc. in San Diego, CA, United States.
Consider building your career as a Battery ML & Control Engineer
- On-Device Learning at Apple Inc.
The Battery ML & Control Engineer
- On-Device Learning position in the IT & Technology, Engineering field is open for applications.
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