ZipRecruiter

Log In

1

Electronics Ai Machine Learning Engineer Jobs (NOW HIRING)

Veritone

AI/Machine Learning Engineer

Irvine, CA · On-site

POSITION SUMMARY The AI/ML Engineer will participate in building, documenting, and refactoring ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

Morgan-Stanley

NY · On-site

$136K - $182K/yr

This is a Generative AI & Machine Learning Engineering position at the Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support ...

The Hartford

Senior AI Machine Learning Engineer

Hartford, CT · Hybrid

$123K - $162K/yr

The Hartford seeks a driven, team-focused Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Customer Operations Data Science team. The Hartford is ...

Veritone

AI/Machine Learning Engineer

Irvine, CA · On-site

POSITION SUMMARY The AI/ML Engineer will participate in building, documenting, and refactoring ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

Intellivo

Sr. AI/Machine Learning Engineer

Memphis, TN · On-site

$109K - $144K/yr

Sr. AI/Machine Learning Engineer Department IT and Programming Employment Type Full-Time Minimum Experience Experienced Role Summary This is a builder's role, not a research role. You will write the ...

3M

AI/Machine Learning Engineer

Maplewood, MN · On-site

$143K/yr

AI/Machine Learning Engineer Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so it's equally ...

3M

AI/Machine Learning Engineer

Maplewood, MN · On-site

$143K/yr

AI/Machine Learning Engineer Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so it's equally ...

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

The Hartford seeks a driven, team-focused Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Customer Operations Data Science team. The Hartford is ...

previous page

Showing results 41-60

All JobsTechnology JobsData JobsData Scientist JobsElectronics Ai Machine Learning Engineer Jobs

Electronics Ai Machine Learning Engineer information

See salary details

$41K

$88.9K

$137.5K

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

As of Sep 13, 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

Irvine, CA • On-site

Veritone
Software Development • 501 - 1,000 employees
Learn more about Veritoneexternal

Full-time

Medical, Life, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

POSITION SUMMARY
The AI/ML Engineer will participate in building, documenting, and refactoring production-grade AI/ML pipelines, model integration layers, and scalable features that grow with business needs.
WHAT YOU'LL DO
Process
  • You identify and analyze areas in existing code, model inference workflows, and data pipelines for optimization, efficiency, and latency improvements.
Team
  • You partner with product, design, data, and infrastructure teams to integrate AI/ML capabilities and intelligent services into application workflows.
  • You participate in on-call support rotation for production ML services, if necessary.
  • You actively participate in team meetings: sharing knowledge on emerging AI trends, asking questions, and challenging assumptions.
  • You actively help your team meet their commitments.
  • You are open to constructive feedback from teammates and management.
Personal
  • You continuously improve your technical skills and stay current with rapid developments in the AI/ML landscape.
  • Proven track record of writing maintainable code, including unit/integration tests, evaluation benchmarks, and readable code.
  • Expertise with learning new frameworks, algorithms, and technical stacks quickly.
  • Familiarity with our tech stack:
    • AI/ML & Data: Python, PyTorch / TensorFlow, Hugging Face, LangChain / LlamaIndex, Vector DBs (e.g., Pinecone, Qdrant, pgvector)
    • MLOps & Infrastructure: Docker, Kubernetes, MLflow / Weights & Biases, Cloud ML Platforms (AWS SageMaker, GCP Vertex AI, etc.)
    • Backend & API: Python, Go, Node.js, GraphQL, ElasticSearch, and Postgres

WHAT YOU'LL NEED
  • At least 3 years of professional experience building and deploying software systems, with direct experience integrating, fine-tuning, or operating AI/ML models in production environments.
  • Deep proficiency with Python and standard ML libraries (e.g., PyTorch, NumPy, Pandas, Scikit-learn, Hugging Face).
  • Hands-on experience with LLMs, RAG architectures, prompt engineering, or traditional ML model pipelines and inference serving.
  • Ability to design and implement robust APIs and backend microservices in Python (bonus if experienced with Go or Node.js).
  • Professional experience working with RDBMSs, NoSQL DBs, and Vector Databases.
  • Demonstrated participation in the successful deployment, monitoring, and scaling of machine learning workloads and production code.

DISCLOSURE
Our company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.
(Colorado & California Only*): The Annual salary listed for the position is a range of $175,000.00-$200,00.00. This base pay is for illustrative purposes only and will be determined based on skills and experience comparable to the job requirements. This position may be eligible for additional compensation and benefits including but not limited to: incentive compensation; health benefits; retirement benefits; life insurance; paid time off; parental leave and benefits; and other employee perks and benefits.
*Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired in Colorado & California.

Apply