Device Machine Learning Optimization Engineer

Job Title:

On-Device Machine Learning Optimization Engineer

We are seeking a talented On-Device Machine Learning Optimization Engineer to join our team. In this role, you will be responsible for optimizing machine learning models and benchmarks to enhance power and performance on various devices. You will work collaboratively with cross‑functional teams to identify and implement optimization opportunities in AI‑driven use cases.

• Analyze power and performance data from ML benchmarks such as MLPerf-Tiny.
• Run benchmarks across different configurations, including ML accelerators and various memory types.
• Characterize ML accelerators and define workload partitioning based on benchmark results.
• Modify ML models by adjusting parameters, such as CNN dimensions and adding layers.
• Establish relationships between model parameters and power and performance metrics.
• Collect traces from AI‑driven use cases to identify optimization opportunities.
• Collaborate with Wearable System Architects and cross‑functional teams to drive optimization efforts.

• Proficiency in RTOS and Embedded ML Model Deployment.
• Experience in Power and Performance Analysis.
• RTOS and Android Development skills.
• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Minimum of 1 year of experience with consumer electronics, such as phones, watches, or glasses.
• Strong firmware development skills for tiny ML on hardware/MCUs.
• Familiarity with ML development environments.
• Ability to modify ML models for performance analysis (not training).
• Strong problem‑solving, multitasking, and critical‑thinking skills.

• Proactive, flexible, and collaborative mindset.
• Excellent communication and interpersonal skills.

You will work in a dynamic and innovative environment, collaborating with a team of skilled engineers and architects. The role involves working with cutting‑edge technologies and requires a proactive and flexible approach. Dress code is casual, promoting a comfortable and creative workspace.

This is a Permanent position based out of San Diego, California.

This is a Permanent position based out of Carlsbad, CA.

The pay range for this position is $ – $/yr.

• Paid time off, holidays, parental and bereavement leave
• 401(k) with matching
• Health, dental, vision, life, and disability insurance
• FSA and HSA options
• Employee Assistance and Referral Programs

This is a hybrid position in Carlsbad, CA.

This position is anticipated to close on Dec 15, 2025.

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccom (actalentaccom) for other accommodation options.