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Electronics Ai Machine Learning Engineer Jobs (NOW HIRING)

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

Bee Genius is building the future of work and is seeking an AI/Machine Learning Engineer to join their team. The role involves developing and implementing machine learning models and algorithms to ...

AIToolboard

AI / Machine Learning Engineer

Mclean, VA · On-site

$100K - $137K/yr

/AI / Machine Learning Engineer# AI / Machine Learning EngineerCyberMedia TechnologiesMcLean, USFull-time## About the RoleCTEC is a leading technology firm that provides modernization, digital ...

Defianx

AI / Machine Learning Engineer

Norfolk, VA · On-site

Position Summary The AI/ML Engineer will design, build, integrate, evaluate, and maintain artificial-intelligence and machine-learning capabilities supporting NATO operational and capability ...

CyberMedia Technologies

AI / Machine Learning Engineer

$117K - $140K/yr

We are seeking to hire a AI/Machine Learning Engineer to our team! Role Overview: As an AI/ML Engineer for CTEC, you will develop Agentic AI systems designed to automate and optimize health benefits ...

Optimus Technology, Inc

As an AI/Machine Learning Engineer, you will work directly with mission users to capture these workflows, document operational decision points, and translate them into effective AI enabled ...

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Electronics Ai Machine Learning Engineer information

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$41K

$88.9K

$137.5K

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

As of Sep 11, 2026, the average yearly pay for electronics ai 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 is an electronics AI machine learning engineer?

An Electronics AI Machine Learning Engineer is a professional who combines expertise in electronics engineering with artificial intelligence (AI) and machine learning (ML) to design, develop, and optimize intelligent electronic systems. They work on integrating AI/ML algorithms into electronic hardware like sensors, embedded systems, or IoT devices to enable advanced functionalities such as pattern recognition, automation, and data analysis. Their role often bridges the gap between hardware and software, requiring skills in circuit design, programming, and data science. These engineers are crucial in industries such as robotics, automotive, consumer electronics, and healthcare technology.

What are the key skills and qualifications needed to thrive as an electronics AI machine learning engineer?

To thrive as an Electronics AI Machine Learning Engineer, you need a strong background in electronics, programming (such as Python or C++), and a solid understanding of machine learning concepts, often backed by a degree in electrical engineering, computer science, or a related field. Familiarity with hardware description languages (HDLs), ML frameworks (like TensorFlow or PyTorch), and embedded systems is typically required, alongside relevant certifications. Strong problem-solving abilities, teamwork, and effective communication help you collaborate on complex projects and explain technical concepts clearly. These skills are crucial for integrating AI solutions into electronic systems, driving innovation, and ensuring reliable and efficient product development.

How do electronics AI machine learning engineers typically collaborate with hardware and software teams?

Electronics AI Machine Learning Engineers often work closely with both hardware and software teams to integrate AI algorithms into electronic devices. Collaboration usually involves translating machine learning models into resource-efficient code that can run on embedded hardware, troubleshooting integration challenges, and iterating on prototypes based on team feedback. Regular meetings and clear communication are essential, as these engineers must bridge the gap between theoretical AI models and real-world hardware constraints. This cross-functional collaboration fosters innovation and ensures that products are both intelligent and practical.

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

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

Infographic showing various Electronics Ai Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $88,896 per year, or $42.7 per hour.

AI/Machine Learning Engineer

Sunnyvale, CA • On-site

BeeGenius
See more jobs at BeeGeniusexternal

Full-time

Re-posted 18 days ago

Job description

Job Summary:
BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine learning models and algorithms to solve complex business problems.
Responsibilities:
• Design and develop machine learning models and algorithms
• Train and evaluate models using large datasets
• Optimize and fine-tune models for performance and accuracy
• Collaborate with data scientists and software engineers to integrate models into production systems
• Stay updated with the latest advancements in AI and machine learning
• Ensure the ethical use of AI technologies
Qualifications:
Required:
• Master's or Ph.D. in Computer Science, Data Science, or a related field
• Strong programming skills in Python or R
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Knowledge of statistical analysis and data visualization techniques
• Understanding of deep learning architectures and algorithms
• Excellent problem-solving and critical-thinking skills
Company:
We are a leading technology, digital, and outsourcing services company. Founded in 2014, the company is headquartered in , , with a team of 2-10 employees. The company is currently Early Stage.

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