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Today

Machine Learning Engineer - On-Device Adaptive Control

Apple Seattle, WA

Seattle, WA

Today

$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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3d ago

Senior Machine Learning Engineer

Motion Recruitment Boston, MA

Boston, MA

3d ago

Full time Senior Artificial Intelligence Automation

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Job Description

Motion Recruitment is seeking a Senior Machine Learning Engineer to own the end-to-end machine learning lifecycle for medical-device, robotics, and automation applications. This role focuses on taking sensor data from collection through modeling, then delivering deployable solutions that run on constrained hardware, with close collaboration across embedded/firmware, software, validation, and documentation needs.

What you’ll work on

Develop and troubleshoot workflows for collecting, cleaning, and organizing sensor data
Build and refine ML models for real-time device applications and performance improvements
Partner with firmware teams to embed and test AI features on hardware platforms
Set up and oversee tools for tracking experiments, automating evaluations, and managing deployments
Analyze model behavior, maintain reliability, and resolve issues to keep outputs high quality

Requirements

5+ years of experience
Strong proficiency in Python
Hands-on experience with PyTorch or TensorFlow
Experience deploying models to edge using TFLite, ONNX, CoreML, TensorRT, or equivalent
Experience building sensor data pipelines
Proficiency with MLOps
Solid software engineering fundamentals
Proficiency in C or C++

Nice to have

Experience with physiological signal processing for medical or wearable applications
Background in robotics or autonomous systems
Experience in a startup or small team
Degree in a relevant field

Tools you’ll use

Python, PyTorch, TensorFlow
TFLite, ONNX, CoreML, TensorRT
MLOps, C, C++

Benefits

Bonus OR Commission eligible
Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k) including match (if applicable)

Location: Boston, MA 02116 (onsite)

Daily responsibility: 100% hands on

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On Device Ai Developer Jobs

Machine Learning Engineer - On-Device Adaptive Control

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