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Expert Research Scientist in Robotics
Job Description & How to Apply Below
In this seasoned role, you will lead policy training for models that enable robots to perform real-world tasks effectively. You'll guide the research direction while ensuring strong evaluations to solve the sim-to-real gap. Your contributions will include implementing effective actions representation techniques and curating diverse datasets for training.
Key Responsibilities:
• Lead vision-language-action and world-action model training
• Drive the technical direction for embodied robotics research
• Utilize domain randomization to enhance real-world applications
• Optimize VLM backbones for robot control techniques
• Create detailed training mix across heterogeneous datasets
Requirements:
• PhD in robotics, machine learning, or computer vision
• Track record of publications at leading conferences
• Expertise in robot policy designs with end-to-end training
• Strong knowledge of imitation learning and policy fine-tuning
• Advanced Python and PyTorch skills with distributed training
Shape the future of robotics with your innovative research expertise at SpAItial.
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