Staff Research Scientist, Reinforce Learning

📋 Description

• Develop World Models and Planners (e.g., diffusion-based, autoregressive, or hybrid approaches) for
• Advance Reinforcement Learning and Reward Modeling, building scalable and safe learning frameworks
• Develop Geometric Foundation Models for 3D spatial understanding in dynamic, real-world environments
• Enable Cross-Embodiment Robotics, leveraging the power of multimodal foundation models to
• Conduct empirical research on Scaling laws, Generalisation, and Sim-to-real transfer
• Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity

🎯 Requirements

• 3+ years of experience developing and deploying ML systems in real-world or production settings
• PhD, Master's degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a
• Deep expertise in one or more core Embodied AI areas, such as Foundation models, Generative world
• Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)
• Strong programming skills in Python, with experience using frameworks such as PyTorch
• A data-centric mindset, with experience working on large-scale datasets and evaluation

🎁 Benefits

• Attractive compensation with salary and equity
• Immersion in a team of world-class researchers, engineers and entrepreneurs
• A unique position to shape the future of autonomy and tackle the biggest challenge of our time
• Bespoke learning and development opportunities
• Relocation support with visa sponsorship
• Flexible working hours - we trust you to do your job well, at times that suit you and your time