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 settings.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 datasetsRequirements:
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 trainingShape the future of robotics with your creative research expertise at SpAItial.#J-18808-Ljbffr

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