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Embedded Ai Machine Learning Jobs (NOW HIRING)

Optimus Technology, Inc

$150 - $200/hr

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 ...

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 ...

3M

Senior AI/Machine Learning Specialist

Maplewood, MN · On-site

$89K - $109K/yr

Senior AI/Machine Learning Specialist Collaborate with Innovative 3Mers Around the World Choosing ... embedded or edge environments. * Evaluating and driving decisions for concurrency, parallel ...

3M

Senior AI/Machine Learning Specialist

Maplewood, MN · On-site

$89K - $109K/yr

Senior AI/Machine Learning Specialist Collaborate with Innovative 3Mers Around the World Choosing ... embedded or edge environments. * Evaluating and driving decisions for concurrency, parallel ...

Veritone, Inc.

AI/Machine Learning Engineer

Irvine, CA · On-site

$150 - $200/hr

Veritone's leading enterprise AI platform, aiWARE™, orchestrates an ever-growing ecosystem of machine learning models, transforming data sources into actionable intelligence. By blending human ...

MY DR NOW

AI & Machine Learning Engineer

Chandler, AZ · On-site

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

Design, develop, and deploy AI-powered healthcare applications using Large Language Models (LLMs), Machine Learning, and Generative AI * Build intelligent agents, RAG solutions, prompt workflows, and ...

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Embedded Ai Machine Learning information

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$70K

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How much do embedded ai machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for embedded ai machine learning in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What other helpful pages are available for Embedded Ai Machine Learning?

Other pages related to Embedded Ai Machine Learning:

Infographic showing various Embedded Ai Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.

Senior Machine Learning Engineer

San Jose, CA • On-site

TetraMem - Accelerate The World
Computer and Peripheral Equipment Manufacturing • 11 - 50 employees
Learn more about TetraMem - Accelerate The Worldexternal

$122K - $168K/yr

Full-time

Re-posted 17 hours ago

Job description

Job Summary:
TetraMem is a company focused on accelerating the world through innovative technology. They are seeking a Senior Machine Learning Engineer to develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly in audio processing, while providing technical leadership and mentoring to junior engineers.
Responsibilities:
• Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing.
• Implement and optimize ML models on embedded platforms, including FPGA and custom ASIC solutions.
• Work closely with hardware and software teams to integrate ML models into production systems.
• Research and implement state-of-the-art ML techniques to enhance model efficiency, latency, and power consumption for embedded AI applications.
• Improve inference efficiency and model compression techniques, including quantization, pruning, and knowledge distillation.
• Collaborate with cross-functional teams to drive innovation and contribute to the overall system architecture.
• Provide technical leadership and mentorship to junior engineers.
• Publish research findings, present at conferences, and contribute to open-source projects when applicable.
Qualifications:
Required:
• 5+ years of relevant industry experience (or a PhD) in Computer Science, Electrical Engineering, Machine Learning, or related fields.
• Must have prior experience managing a team, serving in a Team Lead role, or demonstrating strong technical leadership and cross-functional coordination capabilities.
• Strong hands-on experience in machine learning, with a focus on edge AI, on-device inference, and deploying lightweight models on resource-constrained devices.
• Expertise in modern ML frameworks such as PyTorch, TensorFlow (including TensorFlow Lite), and JAX.
• Proficiency in Python and C/C++, with practical experience in ML model optimization and production deployment.
• Deep experience with model quantization (PTQ/QAT), pruning, knowledge distillation, sparsity, and other compression techniques for efficient edge inference.
• Hands-on experience developing for or integrating with AI chip SDKs, neural accelerators (NPUs/DSPs), or hardware-specific toolchains (e.g., NVIDIA TensorRT, Qualcomm Neural Processing SDK, ARM Ethos, or similar).
• Familiarity with edge inference runtimes (ONNX Runtime, ExecuTorch, TVM) and optimizing models for hardware constraints (latency, memory footprint, power consumption).
Preferred:
• Understanding of ML compiler and runtime design.
• Experience working with tools such as Optimum, ONNX, TensorRT, TFLite/LiteRT, ncnn, or CoreML.
• Familiarity with hardware acceleration techniques.
• Experience in embedded system development.
Company:
TetraMem is developing cutting-edge analog computing solutions for AI applications, offering exceptional performance with ultra-low power consumption. Founded in 2018, the company is headquartered in Newark, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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