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Embedded Machine Learning Engineer Jobs in Redmond, WA

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Proficient in JAVA & Python programming * Understanding of topic modelling, supervised & unsupervised machine learning * Plan the project milestones, resourcing and work distribution * Execute ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Proficient in JAVA & Python programming * Understanding of topic modelling, supervised & unsupervised machine learning * Plan the project milestones, resourcing and work distribution * Execute ...

Remitly Inc.

Staff Machine Learning Engineer

Seattle, WA · On-site

$208 - $260/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine learning ...

PitchBook Data

Machine Learning Engineer

Seattle, WA · On-site

  • Medical

  • Life

  • Retirement

As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of ...

Orchard

Machine Learning Engineer

Seattle, WA · On-site

$120 - $190/hr

  • Medical

  • Dental

  • Vision

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ... Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

  • Medical

  • Dental

  • Vision

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ... Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson

Apple

Machine Learning Engineer - Health AIML

Seattle, WA

$205K - $374K/yr

  • Medical

  • Dental

  • Retirement

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

  • Medical

  • Dental

  • Vision

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ... Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson

Qualtrics

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

Senior Machine Learning Engineer Why We Have This Role We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to ...

Expedia, Inc.

Senior Machine Learning Engineer

Seattle, WA · On-site

$185 - $258/hr

  • Medical

  • Dental

  • Vision

  • PTO

This Senior Machine Learning Engineer role is part of the Distribution & Supply team which sits within our Technology division. The Distribution & Supply team builds and optimizes the machine ...

Hive

Senior Machine Learning Engineer

Seattle, WA

$160K - $250K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Hive

Senior Machine Learning Engineer

Seattle, WA · On-site

$160K - $250K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Expedia

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

  • Medical

  • Dental

  • Vision

  • PTO

This Senior Machine Learning Engineer role is part of the Distribution & Supply team which sits within our Technology division. The Distribution & Supply team builds and optimizes the machine ...

Hive

Staff Machine Learning Engineer

Seattle, WA

$200K - $300K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Bespoke Labs

Machine Learning Engineer

Seattle, WA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Bellevue, WA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Showing results 21-40

All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in Redmond, WA

Embedded Machine Learning Engineer information

See Redmond, WA salary details

$78.4K

$171.8K

$194.9K

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

As of Aug 19, 2026, the average yearly pay for embedded machine learning engineer in Redmond, WA is $171,782.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,300.00 and $193,800.00 per year, depending on experience, location, and employer.

What does an embedded machine learning engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

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

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What are some common challenges faced by embedded machine learning engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What are popular job titles related to Embedded Machine Learning Engineer jobs in Redmond, WA?

For Embedded Machine Learning Engineer jobs in Redmond, WA, the most frequently searched job titles are:

What job categories do people searching Embedded Machine Learning Engineer jobs in Redmond, WA look for?

The top searched job categories for Embedded Machine Learning Engineer jobs in Redmond, WA are:

What cities near Redmond, WA are hiring for Embedded Machine Learning Engineer jobs?

Cities near Redmond, WA with the most Embedded Machine Learning Engineer job openings:

Embedded Machine Learning Engineer jobs near you
Infographic showing various Embedded Machine Learning Engineer job openings in Redmond, WA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $171,782 per year, or $82.6 per hour.

Machine Learning Engineer

Factspan Inc

Seattle, WA • On-site

Full-time

Re-posted 19 days ago

Job description

Company Description

Factspan is a pure play analytics company. We partner with you to build an analytics center of excellence, generating insights and solutions from your data to solve business challenges, make strategic recommendations and implement new processes that help you succeed. With offices in Seattle, USA and Bangalore, India; we use a global delivery model to service our clients. Our clients include Fortune 500 companies in Retail, Financial Services, Hospitality and Technology sectors.

Job Description
  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. 
  • Conduct end-to-end analysis that includes data gathering from various data storage platforms and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical methodology including deep expertise and experience with statistical data analysi
  • Requires a diversified technical person who can setup environments on AWS and integrate different pieces of solution.
  • Develop data pipelines to integrate different data sources
  • Experienced in using Google, Amazon NLP APIs to parse data and analyse output
  • Experienced in using Amazon dockers to develop and deploy the solution
  • Proficient in JAVA & Python programming
  • Understanding of topic modelling, supervised & unsupervised machine learning
  • Plan the project milestones, resourcing and work distribution
  • Execute project in a timely manager, analyse risks and mitigate them
  • Able to lead a technical team of data scientist and engineers
  • Communicate the project progress, challenges, results and next action items to stake holders
Qualifications
  • 3-8 years of experience
  • Bachelor's/Master's Degree in Engineering, Statistics, Mathematics
  • Excellent hands-on working knowledge in R, Python, advanced predictive modelling, SQL, AWS
Additional Information

All your information will be kept confidential according to EEO guidelines.

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