Become an expert Research Scientist with SpAItial, focusing on groundbreaking developments in robotics and vision-language-action models. Your work will redefine how robots understand and interact with their environments. 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 robust 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
Solid knowledge of imitation learning and policy fine-tuning
Advanced Python and PyTorch skills with distributed training Shape the future of robotics with your cutting-edge research expertise at SpAItial.

📌 Expert Research Scientist In Robotics London
🏢 The Institute for Performance and Learning
📍 London