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Electronics Ai Machine Learning Engineer Jobs (NOW HIRING)

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AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr (+ commission)

Knowledge of Machine Learning and Generative AI frameworks * Strong engineering fundamentals and problem-solving skills * A builder mindset -- curious, resourceful, fast-moving, and focused on ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL · On-site

$105K - $127K/yr

... AI) and Machine Learning (ML) projects across the organization. Works with cross-functional teams ... Five (5) or more years of experience in data engineering, data science, or a related role, with ...

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL · On-site

$92K - $126K/yr

... AI) and Machine Learning (ML) projects across the organization. Works with cross-functional teams ... Five (5) or more years of experience in data engineering, data science, or a related role, with ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and ...

Veritone, Inc.

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 · Remote

$107K - $146K/yr

Sr. AI/Machine Learning Engineer Department IT and Programming Employment Type Full-Time, Remote (Memphis, TN candidates preferred for in-office collaboration) Minimum Experience Experienced Role ...

Intellivo

Sr. AI/Machine Learning Engineer

Memphis, TN · Remote

$101K - $139K/yr

Sr. AI/Machine Learning Engineer Department IT and Programming Employment Type Full-Time, Remote (Memphis, TN candidates preferred for in-office collaboration) Minimum Experience Experienced Role ...

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL · On-site

$105K - $127K/yr

... AI) and Machine Learning (ML) projects across the organization. Works with cross-functional teams ... Five (5) or more years of experience in data engineering, data science, or a related role, with ...

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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.

Founding AI/Machine Learning Engineer

San Francisco, CA • On-site

TriFetch
See more jobs at TriFetchexternal

Full-time

Re-posted 10 days ago

Job description

Job Summary:
TriFetch is a company focused on AI and machine learning solutions, and they are seeking a Founding AI/Machine Learning Engineer. The role involves architecting post-training stacks, leveraging proprietary data for model fine-tuning, and collaborating with co-founders to define the research roadmap.
Responsibilities:
• Architect the Post-Training Stack: Lead the design and execution of alignment pipelines (SFT, RLHF, RLAIF) that bridge the gap between "exam-passing" models and "clinically useful" systems.
• Leverage Proprietary Data: Utilize our proprietary and open source medical datasets to fine-tune models on edge cases that generic models miss.
• Novel Technique Experimentation: Research and implement cutting-edge post-training methods to optimize model performance, aiming for improvements in calibration and reliability critical for healthcare.
• Safety & Evaluation: Build rigorous evaluation frameworks (LLM-as-a-judge, benchmarks) to detect hallucinations, ensure clinical correctness, and guarantee safety before deployment.
• Strategic Collaboration: Work directly with the co-founders to define the research roadmap and platform strategy.
Qualifications:
Required:
• Hands-on experience with post-training models for specific applications (SFT, RLHF, RLAIF, Reward Modeling, Knowledge Distillation, etc)
• Deep understanding of Transformer architectures (attention mechanisms, positional encodings) and ML systems
• Experience with distributed training frameworks and optimizing training jobs on GPU clusters
• You thrive in ambiguous environments, learn quickly, and have a bias toward action
• Proficiency in Python, PyTorch
• Familiarity with the modern open-source LLM stacks (HuggingFace, Vertex, Vercel, etc.)
Preferred:
• Healthcare experience
• Published research in high-impact journals or top-tier ML/AI conferences (NeurIPS, ICML, ICLR, CVPR, ACL)
• Background working or interning at top research labs (e.g., FAIR, DeepMind, OpenAI, Google DM, MSR, Stanford/CMU/MIT labs)
• Experience dealing with multimodal health data, clinical reasoning, or safety-critical ML systems
• You have founded a company, built early-stage products, or enjoy the 'zero-to-one' phase of building
Company:
TriFetch is a San Francisco-based healthcare AI startup focused on bridging AI foundations with practical healthcare applications. Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 2-10 employees. The company is currently Early Stage.

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