Machine Learning Engineer – Robotics AI Research Location: Hybrid (Flexible) REdmond, WA Employment Type: Contract Pay Range- $65-70/hr on W2 About the Role We are seeking a Machine Learning Engineer to join a cutting-edge AI research team focused on teaching robots new skills through advanced machine learning techniques. This role is ideal for someone passionate about robotics, reinforcement learning, and building scalable training infrastructure for real-world applications. What You’ll Do • Collaborate with researchers and engineers to develop and deploy machine learning models on robotic systems. • Build and maintain scalable, distributed training infrastructure for large-scale AI models. • Fine-tune and evaluate foundation models for robotic applications. • Design and implement benchmarks and evaluation pipelines. • Optimize training workflows for performance, scalability, and reliability. • Contribute to continuous integration and automated testing systems. What We’re Looking For Must-Have Skills • 2+ years of experience with: • Python and Linux • Configuration management tools (e.g., Docker, Ansible) • ROS/ROS2 • TensorFlow, PyTorch, or JAX • Machine learning model training and evaluation • Experience with reinforcement learning and applying ML to robotic systems. • Strong understanding of distributed systems and training infrastructure. • Bachelor’s degree in Computer Science, Robotics, Engineering, or a related field. Preferred Qualifications • Master’s or PhD in a relevant field. • Experience with cloud platforms (AWS, Azure, GCP). • Familiarity with robotic manipulation, robot learning, or autonomous systems. • Background in academic or industry research in robotics or AI. Why This Role is Exciting • Work with state-of-the-art robotic platforms and real-world applications. • Collaborate with top researchers in AI and robotics. • Contribute to the development of intelligent systems that can perform complex physical tasks. • Be part of a team shaping the future of robotics and machine learning. Interview Process • Technical screening and hard skills assessment. • Interviews with engineering and research team members. • Final evaluation based on technical depth, collaboration, and problem-solving. Ready to build the future of robotics? Apply now and join us in redefining what machines can do.