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):- Python (2+ years) - Develop machine learning pipelines, automation tools, robotics software, and production-quality code supporting research initiatives.
- PyTorch (2+ years) - Train, fine-tune, evaluate, and optimize robotics foundation models, vision-language-action models, and other deep learning architectures.
- ROS2 (2+ years) - Integrate robotic perception and control systems with simulation environments and physical robotic hardware.
- 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 , 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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