Research Scientist (Embodied AI)

Location: London, United Kingdom. Full-time role based in the London office with a hybrid working policy combining office and workshop time with work from home.

Company

hirify.global develops embodied AI software and foundation models that enable vehicles to perceive, understand, and navigate complex environments for automated driving.

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 robotic learning using multimodal foundation models across diverse platforms.
• Research scaling laws, generalisation, and sim-to-real transfer.
• Define evaluation frameworks and benchmarks for long-horizon prediction, scene fidelity, and driving performance.

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 related field.
• Deep expertise in embodied AI, including foundation models, generative world modeling, reinforcement learning, or spatial AI.
• Track record of publications at top-tier conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, or CoRL.
• Strong Python programming skills with experience using PyTorch, plus experience with 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 multi-year embodied AI breakthroughs.
• Relocation support with visa sponsorship.
• Flexible working hours within the hybrid working model.
• Salary and equity compensation.
• Learning and development opportunities, private health insurance, enhanced parental leave, therapy, daily yoga, and an onsite chef.