Research Scientist (Embodied AI)

Location: London, United Kingdom. Full-time hybrid role combining work from the London office and workshops with working from home. Relocation support with visa sponsorship is available.

Company

hirify.global develops AI systems for autonomous driving and robotics, with hirify.global Labs focused on long-term research in embodied AI.

What you will do

• Develop world models and planners using diffusion-based, autoregressive, or hybrid approaches for realistic and consistent simulation.
• Advance reinforcement learning and reward modeling across real and synthetic data.
• Develop geometric foundation models for 3D spatial understanding in dynamic real-world environments.
• Enable cross-embodiment robotics using multimodal foundation models across diverse robotic platforms.
• Conduct empirical research on scaling laws, generalisation, and sim-to-real transfer.
• Define evaluation frameworks and benchmarks for long-horizon prediction, scene fidelity, and driving performance.

Requirements

• At least 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 related field.
• Deep expertise in embodied AI, including foundation models, generative world modeling, reinforcement learning, spatial AI, or related areas.
• Track record of publications at top-tier conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, or CoRL.
• Strong programming skills in Python and experience with PyTorch, large-scale datasets, and evaluation.
• Strong problem-solving and interdisciplinary collaboration skills.

Nice to have

• Experience in autonomous driving, robotics, or simulation systems.
• Familiarity with large-scale training tools such as FSDP, DeepSpeed, or JAX.
• Experience with sim-to-real transfer or data-efficient learning.
• Contributions to open-source ML tools or research infrastructure.

Culture & Benefits

• Work with researchers, engineers, and entrepreneurs on long-term embodied AI research.
• Attractive compensation with salary and equity.
• Flexible working hours and a hybrid working policy.
• Learning and development opportunities with unlimited L&D requests.
• Private health insurance, therapy, enhanced parental leave, workplace nursery scheme, and onsite chef.
• Daily yoga, onsite bar, and social budgets.