Robotics Machine Learning Engineer

What you'll do

• Help design the machine-learning software stack and plan model development.
• Develop, test, and deploy software, machine-learning pipelines, and data-collection pipelines; evaluate model performance in real-world use.
• Collaborate with external organizations and help grow the machine-learning and autonomy teams.

What they ask for

• 3+ years of experience in machine learning applied to robotics.
• Experience with deep-learning frameworks and cloud computing.
• Strong understanding of robot-learning research and challenges of real-world neural-network deployment.
• Experience deploying traditional and learning-based robotics approaches; ability to write high-quality software.

Nice to have

• Advanced degree in computer science, robotics, machine learning, or a related field.
• Papers at top ML/Robotics conferences, or experience deploying robots, collecting large datasets, and training production neural networks.

Tools

Pytorch, JAX, TensorFlow, AWS, Azure, GCP

AI focus

Embodied AI and robot learning for humanoid robots, including manipulation, navigation, locomotion, perception, model development, and real-world deployment.