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Edge Ai Machine Learning Jobs in Seattle, WA (NOW HIRING)

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

IUNU is revolutionizing the agriculture industry through cutting-edge AI-driven solutions for greenhouse operations. They are seeking an Applied Machine Learning Engineer to develop products for ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

At IUNU ("you knew'), we're revolutionizing the agriculture industry through cutting-edge AI-driven ... Applied Machine Learning Engineer responsibilities include creating machine learning models and ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

At IUNU ("you knew'), we're revolutionizing the agriculture industry through cutting-edge AI-driven ... Applied Machine Learning Engineer responsibilities include creating machine learning models and ...

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and ... Optimize algorithms for low-latency inference on edge devices (spacecraft hardware). * Collaborate ...

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$95 - $135/hr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and ... Optimize algorithms for low-latency inference on edge devices (spacecraft hardware). * Collaborate ...

Xaira Therapeutics

AI Research Engineer

Seattle, WA · On-site

$190K - $280K/yr

This role offers the opportunity to apply cutting-edge AI techniques in production settings to ... Minimum of five years of industry experience in AI, machine learning, or related roles, with a ...

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Manager In order to execute our vision, we're constantly growing our machine ...

Hive

Machine Learning Manager

Seattle, WA

$180K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Manager In order to execute our vision, we're constantly growing our machine ...

Zoom

Sr. Machine Learning Engineer - AI

Seattle, WA · On-site

$157.44 - $236.20/hr

Maintain comprehensive documentation for all AI search systems, workflows, and services using ... Conduct research on cutting-edge Machine Learning, NLP, and knowledge graph techniques, evaluating ...

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ...

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All JobsEdge Ai Machine Learning JobsEdge Ai Machine Learning Jobs in Seattle, WA

Edge Ai Machine Learning information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

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

As of Aug 30, 2026, the average yearly pay for edge ai machine learning in Seattle, WA is $48,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,300.00 per year, depending on experience, location, and employer.

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the most commonly searched types of Edge Ai Machine Learning jobs in Seattle, WA?

The most popular types of Edge Ai Machine Learning jobs in Seattle, WA are:

What are popular job titles related to Edge Ai Machine Learning jobs in Seattle, WA?

For Edge Ai Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Edge Ai Machine Learning jobs in Seattle, WA look for?

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Edge Ai Machine Learning jobs near you
Infographic showing various Edge Ai Machine Learning job openings in Seattle, WA as of August 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% In-person job distribution, with an average salary of $48,461 per year, or $23.3 per hour.

Robotics Machine Learning Engineer (Embodied AI)

Team Red Dog

Redmond, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Team Red Dog is hiring a Robotics Machine Learning Engineer (Embodied AI)
for our client, a Fortune 50 technology leader and AI-driven technology organization advancing state-of-the-art robotic learning and foundation models. This role will develop and integrate embodied AI systems across robotic hardware and simulation environments, build machine learning training and evaluation pipelines, and fine-tune vision-language-action (VLA), diffusion, and reinforcement learning models. You will work hands-on with Python, PyTorch, ROS2, Azure Machine Learning, robotic control and perception stacks, and simulation frameworks to move novel research algorithms from experimentation to real-world robotic systems. This is an opportunity to directly influence emerging robotics research while working with an agile team at the forefront of AI, machine learning, and embodied intelligence.
Top Required Skills (Must Haves):
  1. Python - 5+ years of professional or advanced research experience developing production-quality software, machine learning pipelines, robotics integrations, and tools for training and evaluating AI models.
  2. PyTorch - 2+ years of hands-on experience developing, training, fine-tuning, or evaluating machine learning models, ideally including vision-language-action models, diffusion models, reinforcement learning policies, or related foundation models.
  3. ROS2 - 1+ year of hands-on experience integrating robotic hardware, control systems, perception stacks, sensors, or simulation environments using ROS2.
  4. Robotics & Simulation - Demonstrated experience working with robotic hardware or simulation environments and integrating robotic systems with machine learning frameworks.

Opportunity Overview:
Join a research team advancing the state of the art in robotic learning, embodied AI, and foundation models. You will help integrate new robotic platforms and simulation environments into a sophisticated learning framework, collect and prepare demonstrations for model training, and launch fine-tuning and evaluation runs across internal and external VLA models. The work combines cutting-edge AI research with hands-on robotics engineering, giving you the opportunity to develop new capabilities and meaningfully influence the direction and impact of emerging research.
How you will make an impact:
  • Integrate new simulation environments and robotic hardware, including robotic arms, with robotic learning frameworks by adapting server/client software to new APIs.
  • Develop, fine-tune, and improve sophisticated software implementations supporting embodied AI and robotics research.
  • Build and maintain automated testing infrastructure for robotics and machine learning systems.
  • Develop machine learning training and evaluation pipelines using Azure Machine Learning.
  • Collect, convert, analyze, and refine demonstration and training datasets for robotic learning and AI applications.
  • Launch fine-tuning and evaluation runs for internal and external vision-language-action models and other robotic learning models.
  • Develop tools that enable rapid deployment and evaluation of novel algorithms in simulation and on physical robotic hardware.
  • Integrate robotic control and perception stacks with simulation frameworks.
  • Troubleshoot and unit test new and legacy systems to identify and resolve complex software and integration issues.
  • Develop new research features, perform evaluations, and create technical documentation supporting research objectives.

The expertise you bring:
  • Master's degree in computer science, computer engineering, robotics, machine learning, or a related technical field required.
  • 5-7 years of related software engineering, machine learning, robotics, or research experience.
  • 5+ years of Python programming experience.
  • 2+ years of hands-on PyTorch experience.
  • 1+ year of ROS2 experience.
  • Strong foundation in computer science, including data structures, algorithms, and software design.
  • Experience with robotic hardware, simulation environments, or both.
  • Experience integrating robotic control and perception systems with software or simulation frameworks.
  • Background with machine learning frameworks such as PyTorch or TensorFlow.
  • Experience developing training and evaluation pipelines for machine learning models.
  • Strong troubleshooting, debugging, unit testing, and problem-resolution skills across complex software systems.
  • Experience working with robotic learning approaches such as vision-language-action models, diffusion models, reinforcement learning policies, or related techniques is highly desirable.

What makes a candidate highly successful in this role:
A highly successful candidate will combine advanced machine learning expertise with hands-on robotics and strong software engineering fundamentals. PhD-level research, doctoral studies, or substantial research experience within a robotics lab will be particularly valuable, especially for candidates who have trained robotic models such as vision-language-action models, diffusion models, or reinforcement learning policies. Strong candidates will also be comfortable moving between research and implementation-integrating robotic hardware or simulation environments, adapting APIs, preparing training data, launching model fine-tuning and evaluation runs, and troubleshooting complex systems. Success will be measured by tangible impact on research objectives, including new capabilities, meaningful evaluations, effective technical documentation, and consistent progress against collaboratively planned research priorities.
Why Work with Team Red Dog?
At Team Red Dog, people are at the heart of everything we do. Our commitment to personalized service and our deep experience in matching talented professionals with meaningful roles at some of the world's most inspiring companies is what sets us apart. We take the time to understand your unique skills, strengths, and passions-because we believe your career should reflect who you are.
Whether you're looking to grow, pivot, or simply find a place where your work truly matters, we offer opportunities that empower you to make a positive impact. With excellent benefits, a supportive team, and a role where you can thrive while doing what you love, we're here to help you take the next step with confidence. Join us-and discover what it means to be genuinely valued in your career.
Generous benefits package for qualified employees includes:
  • Health insurance (medical, dental, vision, and life)
  • Employer-matched 401K plan
  • Paid Time Off
  • Flexible Paid Holiday Benefit

Estimated Start Date: Immediately
Location: Onsite - Redmond, WA
Job #: 2592
Job Type and Estimated Duration: W2 contract opportunity through September 16, 2027, with the potential to extend up to 18 months total, subject to performance, budget, and client discretion.
Rate: $17,000-$19,000/month
Team Red Dog is committed to providing equal opportunities to everyone, regardless of race, ethnicity, gender, age, religion, sexual orientation, disability, or any other characteristic. If you need accommodation during the recruitment process, reach out to hr@teamreddog.com, and we will work to ensure an accessible experience. We strictly adhere to federal, state, and local laws to maintain a workplace free from discrimination and harassment.
We offer competitive compensation aligned with U.S. industry standards, and our final offer will reflect the candidate's location, job-specific skills, experience, and knowledge.
  • All applicants must be authorized to work in the U.S. without the need for sponsorship.
  • Team Red Dog is an E-Verify employer.
  • Employment is contingent upon the successful completion of a reference and background check.
  • Please no solicitations from C2C or recruiting firms.

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