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Edge Ml Jobs (NOW HIRING)

You are an Edge ML specialist second - you know how to get a model running, quantized and optimized, on a Cortex-M-class part with kilobytes to spare, whether it comes from Data Science or you build ...

You are an Edge ML specialist second - you know how to get a model running, quantized and optimized, on a Cortex-M-class part with kilobytes to spare, whether it comes from Data Science or you build ...

Convert cutting-edge ML research into practical, deployable product features * Establish benchmarks and quality standards for ML features in production environments * Work with SDK team to ensure ML ...

$150 - $200/hr

... edge ML research with a focus on clinical impact. This fully remote role requires expertise in machine learning and deep learning, especially in developing and evaluating models for healthcare ...

Applied Audio ML Engineer

San Francisco, CA · On-site

$122K - $151K/yr

Responsibilities : • Research, design, and implement solutions using advanced signal processing algorithms and bleeding edge ML models with application to speech and audio. • Develop production ...

Applied Scientist (ML)

Mountain View, CA · Hybrid

$190K - $275K/yr

Role As an Applied Scientist (ML) at Samaya, you will collaborate closely with our product and engineering teams, and use cutting-edge ML research to transform how users interact with Samaya in their ...

AI / Embedded ML Engineer

Saratoga, CA · On-site

$145K - $190K/yr

The role involves data ingestion, model development, optimization, and deployment on embedded devices, aiming to build reliable, low-power, real-time ML systems that operate at the edge.

Work on cutting-edge ML inference framework project and optimize code for efficient and scalable ML inference using distributed compute strategies such as data, tensor, pipeline and expert ...

AI / Embedded ML Engineer

Saratoga, CA · On-site

$145K - $190K/yr

... edge processors such as ARM Cortex-M, RISC-V, and DSPs • Apply quantization, pruning, and ... ML inference into embedded firmware written in C, C++, or Rust • Profile and optimize memory ...

AI / Embedded ML Engineer

Saratoga, CA · On-site

$150 - $200/hr

This role is critical for building reliable, low-power, real-time ML systems that operate at the edge. In this role, you will leverage your expertise in sensor data processing, lightweight model ...

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Edge Ml information

See salary details

$43.5K

$98.3K

$235K

How much do edge ml jobs pay per year?

As of Sep 8, 2026, the average yearly pay for edge ml in the United States is $98,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $107,000.00 per year, depending on experience, location, and employer.

What is the difference between Edge ML vs Data Scientist?

AspectEdge MLData Scientist
Required CredentialsKnowledge of machine learning, programming, and hardware integrationStatistics, programming, data analysis, often a degree in data science or related fields
Work EnvironmentEmbedded systems, IoT devices, real-time processing at the network edgeData analysis labs, corporate offices, cloud platforms
Industry UsageIoT, autonomous vehicles, smart devicesBusiness analytics, research, data-driven decision making

Edge ML specialists focus on deploying machine learning models directly on edge devices for real-time processing, often requiring hardware and software integration skills. Data scientists analyze data to extract insights, typically working in cloud or office environments. While both roles involve machine learning, Edge ML emphasizes deployment on hardware, whereas data scientists focus on data analysis and model development.

What other helpful pages are available for Edge Ml?

Other pages related to Edge Ml:

Infographic showing various Edge Ml job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $98,344 per year, or $47.3 per hour.

Edge ML Engineer - Bright Vision Technologies

Apex, NC • On-site

$125 - $150/hr

Other

Posted yesterday

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Job description

Edge ML Engineer at Bright Vision Technologies.

Key technologies: Software Development, System Design, Problem Solving.

Key Responsibilities
  • Design and implement technical solutions to meet business requirements
  • Collaborate with cross-functional teams throughout the software development lifecycle
  • Contribute to code quality through reviews, testing and documentation
  • Identify and resolve technical issues and performance bottlenecks
Requirements
  • 3+ years of relevant experience in ml engineer
  • Strong analytical and problem-solving skills
  • Excellent communication and teamwork skills
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