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Power Electronics Machine Learning Engineer Jobs

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS ... Machine Learning Engineer with experience developing ML models for computer vision and graphics ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Our team delivers algorithms that power many Apple technologies, including Apple Vision Pro ... Machine Learning Engineer with experience developing ML models for computer vision and graphics ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

By harnessing the power of personalization, gamification, and its integrations ecosystem, Hang ... About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team.

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

Design and implement AI agents, agentic workflows, and LLM-powered applications. * Deploy and ... At MatrixSpace, Machine Learning Engineering is where advanced AI research becomes real-world ...

Compunnel

Machine Learning Engineer

Philadelphia, PA · On-site

JOB SUMMARY We are seeking a hands-on Machine Learning Engineer to design, build, evaluate, deploy, and maintain machine learning models in production environments. The ideal candidate will have ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing ... The Opportunity AI-powered Search, Recommendations and Generative AI-based guidance is a core part ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

We do so by delivering the most advanced Mobile Ad-hoc Network (MANET) radios powered by our custom ... Experience with RF signal processing and SDR for signals intelligence or electronic warfare

Adobe

Machine Learning Engineer

San Jose, CA · On-site

Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing ... The Opportunity AI-powered Search, Recommendations and Generative AI-based guidance is a core part ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing ... The Opportunity AI-powered Search, Recommendations and Generative AI-based guidance is a core part ...

UNISSANT

Machine Learning Engineer

Ashburn, VA · On-site

We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA ... Experience with analytics and visualization tools such as Tableau, Power BI, matplotlib, or Plotly.

Henpen Corporation

Power Electronics Engineer

Concord, MA · On-site

$122K - $145K/yr

... opportunities and learning experiences. You will work in a small company environment where ... Prior experience designing electric machines and/or drives * Experience working with acoustic ...

KSB, Inc.

Machine Learning Engineer

Grovetown, GA · On-site

Machine Learning Engineer**### **KSB GIW, Inc.**### **Department:** Engineering, Research ... You'll build the data foundation that powers this work, implement and train models that bridge ...

NR Consulting

Machine Learning Engineer

Fremont, CA · On-site

... Learning Engineer to develop and deploy lightweight machine learning models for edge AI ... power consumption for embedded AI applications. • Improve inference efficiency and model ...

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All JobsPower Electronics Machine Learning Engineer Jobs

Power Electronics Machine Learning Engineer information

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$41K

$88.9K

$137.5K

How much do power electronics machine learning engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for power electronics machine learning engineer in the United States is $88,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $109,500.00 per year, depending on experience, location, and employer.

What does a power electronics machine learning engineer do?

A Power Electronics Machine Learning Engineer combines expertise in electrical engineering, specifically power electronics, with machine learning techniques to develop smarter, more efficient electronic systems. They work on optimizing the performance of devices such as inverters, converters, and motor drives by applying data-driven algorithms. Their role may involve tasks like predictive maintenance, system modeling, anomaly detection, and control optimization, often using real-time sensor data. This intersection of disciplines is increasingly important for modern applications in renewable energy, electric vehicles, and industrial automation.

What are the key skills and qualifications needed to thrive as a power electronics machine learning engineer, and why are they important?

To thrive as a Power Electronics Machine Learning Engineer, you need a solid grounding in electrical engineering, power electronics, and machine learning, typically backed by a relevant degree and experience in both hardware and software domains. Familiarity with simulation tools (such as MATLAB/Simulink), programming languages (like Python), and machine learning frameworks (such as TensorFlow or PyTorch) is commonly required. Strong problem-solving skills, effective communication, and the ability to collaborate across multidisciplinary teams set outstanding candidates apart. These skills and qualifications are crucial for designing innovative solutions that leverage AI to optimize power electronic systems and drive technological advancements.

How does a power electronics machine learning engineer typically collaborate with cross-functional teams during project development?

Power Electronics Machine Learning Engineers often work closely with hardware engineers, embedded software developers, and data scientists to integrate machine learning algorithms into power electronic systems. Collaboration involves regular meetings to align on system requirements, data collection strategies, and model deployment. These engineers also coordinate with testing and validation teams to ensure models perform reliably under real-world operating conditions, fostering a multidisciplinary environment that enhances innovation and problem-solving.

What are popular job titles related to Power Electronics Machine Learning Engineer jobs?

For Power Electronics Machine Learning Engineer jobs, the most frequently searched job titles are:

Infographic showing various Power Electronics Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $88,896 per year, or $42.7 per hour.

Machine Learning Engineer

Sunnyvale, CA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Appleexternal

Full-time

Re-posted 22 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

Job description

Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved challenges in human representation and motion impacting millions of users.
Description
Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics applications. We are actively involved in the whole ML cycle from data collection design and data processing to model design and experiments to validation and QA in the wild. We perform applied research development to adapt state-of-the-art methods or implement new methods to ship features on visionOS and iOS platforms. In this role, you will work closely with other ML engineers as well as data and software engineers both internally and multi-functionally.
Minimum Qualifications
Software engineering skills and proficiency in Python
Experience with PyTorch
Independent problem solving skills
BS degree and 10+ years of experience
Preferred Qualifications
Passion for delivering high quality features to large groups of diverse end-users
Excellent communication and experience working with multi-functional teams
Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule
MS degree in computer vision, computer graphics, machine learning or related field
PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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