Energy Management Developer Jobs

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1d ago

Machine Learning Engineer - On-Device Adaptive Control

Apple Seattle, WA

Seattle, WA

1d ago

$142k - $214k/yr Full time Electrical Engineering Artificial Intelligence Controls Engineering

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Job Description

The Energy Tech org at Apple is building on-device control systems that manage thermal and energy tradeoffs using on-device machine learning and control. This full-stack role combines data analysis, prototyping of MPC and ML control algorithms, and deployment on-device. You will work onsite in Seattle, WA and help bring control intelligence into the OS experience.

What you’ll do

Design and implement on-device control systems for thermal and energy management.
Build and fit thermal models using lab and field data.
Prototype MPC and related control algorithms end-to-end, from data analysis to on-device deployment.
Analyze large-scale field telemetry to characterize device behavior and validate models.
Define and tune cost functions that encode system-level tradeoffs.
Partner with firmware, hardware, and platform teams to integrate control systems into the OS.

What you bring

MS or PhD in controls, robotics, electrical engineering, computer science (or BS with relevant experience).
Experience with model predictive control, optimal control, or reinforcement learning (sequential decision-making).
Strong Python programming skills, with comfort using C/C++ for on-device work.
Experience working with real-world sensor data that may be noisy, incomplete, and high-volume.
Proven ability to take work from data exploration to a working prototype.

Helpful background

Experience with thermal systems, battery management, or energy optimization.
Familiarity with embedded or resource-constrained environments.
Background in system identification or online parameter estimation.
Comfort with ambiguity, including scoping and driving work without fully detailed specifications.
A track record of shipping models or control systems into production, not only research prototypes.

Compensation and benefits

Base pay range: $142,300 to $214,300 per year. Your base pay will depend on your skills, qualifications, experience, and location.

Comprehensive medical and dental coverage.
Retirement benefits.
Discounted products and free services.
Educational expense reimbursement, including tuition.
Opportunity to become an Apple shareholder through discretionary employee stock programs.
Eligible for discretionary restricted stock unit awards.
Can purchase Apple stock at a discount through voluntary participation in the Employee Stock Purchase Plan.
Discretionary bonuses or commission payments, and relocation (eligibility may apply).

Technologies you’ll work with

Python, C/C++
Model predictive control (MPC), optimal control
Reinforcement learning
OS integration for on-device deployment

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