Machine Learning Engineer - On-Device Adaptive Control

The Energy Tech org at Apple is developing on-device control systems that use on-device machine learning to manage thermal and energy tradeoffs.

Responsibilities

• 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 through 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
• Collaborate with firmware, hardware, and platform teams to integrate control systems into the OS

Requirements

• MS or PhD in controls, robotics, electrical engineering, computer science, or related field; or BS with relevant experience
• Experience with model predictive control, optimal control, or reinforcement learning (sequential decision-making)
• Strong programming skills in Python; comfort with C/C++ for on-device work
• Experience working with real-world sensor data, including noisy, incomplete, high-volume datasets
• Demonstrated ability to take a project from data exploration through a working prototype

Technologies

• Python
• C/C++
• Model predictive control
• Optimal control
• Reinforcement learning
• MPC
• OS

Preferred Qualifications

• 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, able to scope and drive work without detailed specifications
• Track record of shipping models or control systems into production, not only research

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses, including tuition
• Opportunity to become an Apple shareholder through Apple’s discretionary employee stock programs
• Eligible for discretionary restricted stock unit awards
• Can purchase Apple stock at a discount with participation in the Apple Employee Stock Purchase Plan
• Base pay range between $142,300 and $214,300
• Discretionary bonuses or commission payments and relocation (eligibility may apply)

Pay & Benefits

The base pay range for this role is between $142,300 and $214,300. Your base pay will depend on your skills, qualifications, experience, and location.

Location: Seattle, WA (onsite)