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Summer Machine Learning Hardware Jobs in Seattle, WA

Team Red Dog

AI Robotics Engineer

Redmond, WA · On-site

Robotics Simulation & Machine Learning - Experience working with simulation environments or robotic hardware, including reinforcement learning, diffusion models, or robotic AI workflows. Opportunity ...

Team Red Dog

AI Robotics Engineer

Redmond, WA · On-site

Robotics Simulation & Machine Learning - Experience working with simulation environments or robotic hardware, including reinforcement learning, diffusion models, or robotic AI workflows. Opportunity ...

Overland AI

Forward Deployed Hardware Engineer

Seattle, WA · On-site

$120K - $150K/yr

The company leverages over a decade of advanced research in robotics and machine learning, as well ... We are looking for a field-forward, Hardware Engineer to deploy, operate, maintain, troubleshoot ...

Team Red Dog

AI Robotics Engineer

Redmond, WA · On-site

Robotics Simulation & Machine Learning - Experience working with simulation environments or robotic hardware, including reinforcement learning, diffusion models, or robotic AI workflows. Opportunity ...

Meta

Hardware Electrical Engineer

Redmond, WA

$144K/yr

As a Hardware Electrical Engineer at Meta, you will design, develop, and integrate innovative ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

SID Global Solutions

Computer Vision Engineer

Bellevue, WA

$125K - $148K/yr

This role focuses on designing, developing, and implementing advanced engineering solutions, integrating IIoT hardware, computer vision, and machine learning to improve material handling, operator ...

Amazon

Software Development Manager , EC2 Nitro

Seattle, WA · On-site

$140K - $185K/yr

Join our EC2 Nitro Machine Learning Systems team to lead a pivotal performance engineering group at ... shape future AWS hardware, while simultaneously establishing foundational benchmarking ...

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All JobsSummer Machine Learning Hardware JobsSummer Machine Learning Hardware Jobs in Seattle, WA

Summer Machine Learning Hardware information

See Seattle, WA salary details

$13

$27

$54

How much do summer machine learning hardware jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for summer machine learning hardware in Seattle, WA is $27.99, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $31.73 per hour, depending on experience, location, and employer.

What is the difference between Summer Machine Learning Hardware vs Summer Data Scientist?

AspectSummer Machine Learning HardwareSummer Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; knowledge of hardware design and programmingBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and programming
Work EnvironmentHardware labs, R&D centers, tech companies focusing on AI hardwareOffice settings, research labs, tech companies analyzing data and building models
Industry UsageAI hardware development, embedded systems, hardware acceleration for MLData analysis, predictive modeling, AI application development

Summer Machine Learning Hardware roles focus on designing and optimizing hardware for machine learning applications, requiring technical skills in hardware engineering. In contrast, Summer Data Scientist positions involve analyzing data, building models, and deriving insights. Both roles are essential in AI development but differ in their technical focus and work environment.

Summer Machine Learning Hardware jobs near you

AI Robotics Engineer

Team Red Dog

Redmond, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

Team Red Dog is hiring an AI Robotics Engineer for our client, a world-class innovation client and AI-driven technology organization advancing the future of embodied AI and robotic foundation models. In this hands-on engineering role, you'll develop machine learning pipelines, integrate robotic simulation environments, and deploy AI models that bridge cutting-edge research with real-world robotic systems. Working alongside leading researchers, you'll help advance open-source robotics software, improve model performance, and contribute to technologies shaping the next generation of intelligent autonomous systems. This is an exceptional opportunity for engineers with robotics, machine learning, and software development experience who want to make a measurable impact on groundbreaking AI research.
Top Required Skills (Must Haves):
  1. Python (2+ years) - Develop machine learning pipelines, automation tools, robotics software, and production-quality code supporting research initiatives.
  2. PyTorch (2+ years) - Train, fine-tune, evaluate, and optimize robotics foundation models, vision-language-action models, and other deep learning architectures.
  3. ROS2 (2+ years) - Integrate robotic perception and control systems with simulation environments and physical robotic hardware.
  4. Robotics Simulation & Machine Learning - Experience working with simulation environments or robotic hardware, including reinforcement learning, diffusion models, or robotic AI workflows.

Opportunity Overview:
Join a research team pushing the boundaries of embodied AI and robotic foundation models. This role combines software engineering, machine learning, robotics, and cloud-based model development to help create intelligent robotic systems capable of learning from both simulation and real-world environments. You'll collaborate with world-class researchers, contribute to open-source robotics platforms, and directly influence technologies that are advancing the future of robotics research.
How you will make an impact:
  • Develop, fine-tune, and maintain AI and machine learning models supporting robotics research.
  • Design and improve automation infrastructure for robotics testing and model evaluation.
  • Build and maintain training and evaluation pipelines using Azure Machine Learning.
  • Analyze, prepare, and refine training datasets for robotics and embodied AI applications.
  • Develop deployment tools that rapidly transition new algorithms from simulation to robotic hardware.
  • Integrate robotic perception and control stacks with simulation frameworks.
  • Benchmark robotics foundation models across simulation and real-world environments.
  • Troubleshoot software issues, debug production systems, resolve customer deployment challenges, and support open-source robotics software.
  • Collaborate within an agile research environment to deliver features, evaluations, documentation, and technical improvements.

The expertise you bring:
  • Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a related technical discipline.
  • 2-4 years of professional or equivalent academic experience in AI, robotics, machine learning, or software engineering.
  • Minimum 2 years of professional experience with Python.
  • Minimum 2 years of professional experience using PyTorch.
  • Minimum 2 years of professional experience with ROS2.
  • Strong computer science fundamentals including algorithms, data structures, and software design.
  • Experience working with robotic simulation environments or robotic hardware.
  • Experience troubleshooting, debugging, unit testing, and supporting production software systems.
  • Experience developing machine learning models using frameworks such as PyTorch or TensorFlow.
  • Familiarity with Azure Machine Learning or similar cloud-based ML platforms is preferred.
  • Experience with reinforcement learning, diffusion models, vision-language-action models, or robotic foundation models is highly desirable.

What makes a candidate highly successful in this role:
Successful candidates combine strong software engineering fundamentals with hands-on robotics and machine learning experience. Candidates who have participated in university robotics research labs, collaborated on robotics-focused academic projects, or contributed to embodied AI research will stand out. Experience training robotic learning models, integrating robotics software with simulation or hardware, and thriving in collaborative research environments will position candidates for success.
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
  • Paid holidays

Estimated Start Date:
Immediately
Location:
Onsite, Redmond, WA
Job #
2550
Job Type and Estimated Duration:
W2 contract opportunity through 1/7/2028 subject to performance, budget and client discretion.
Rate:
$10,200-$11,500 per 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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