Applied Scientist (Embodied AI)

TL;DR

Applied Scientist (Embodied AI): Developing the next generation of AI systems for autonomous driving with an accent on world modeling, representation learning, and scalable decision-making. Focus on building realistic simulators, advancing spatial intelligence, and implementing sim-to-real transfer for diverse robotic platforms.

Location: Hybrid; based in London, UK. Relocation support with visa sponsorship available.

Company

hirify.global is a leading developer of Embodied AI technology creating mapless, hardware-agnostic AI products for automakers to accelerate the transition to automated driving.

What you will do

• Develop World Models and Planners using diffusion-based, autoregressive, or hybrid approaches for consistent simulation.
• Advance Reinforcement Learning and Reward Modeling to build scalable and safe learning frameworks.
• Create Geometric Foundation Models for 3D spatial understanding in dynamic, real-world environments.
• Leverage multimodal foundation models to accelerate robotic learning across diverse platforms.
• Conduct empirical research on scaling laws, generalization, and sim-to-real transfer.
• Define evaluation frameworks and benchmarks for long-horizon prediction and driving performance.

Requirements

• 3+ years of experience developing and deploying ML systems in production settings.
• PhD or Master’s degree in Machine Learning, Computer Vision, Robotics, or a related field.
• Deep expertise in foundation models, generative world modeling, RL, or Spatial AI.
• Proven track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
• Strong programming skills in Python and experience with PyTorch.
• Must be based in or be able to relocate to London, UK.

Nice to have

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

Culture & Benefits

• Competitive compensation package including salary and equity.
• Relocation support and visa sponsorship.
• Hybrid working policy with flexible hours.
• Comprehensive onsite perks including a chef, workplace nursery scheme, bar, and daily yoga.
• Private health insurance, therapy, and unlimited L&D budget.
• Enhanced parental leave and large social budgets.