Embodied AI Research Scientist — Autonomous Driving

OpenDigital Limited; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Relocation support with visa sponsor

Flexible working hours

Onsite chef

Private health insurance

Nursery scheme

Job summary

Wayve is seeking Research Scientists to join Wayve Labs and advance embodied AI for autonomous driving and robotics. You’ll work at the intersection of ML, simulation, robotics, and real-world deployment, contributing to core innovations that push the frontier of embodied AI.

We are a high-conviction research team prioritising multi-year breakthroughs with a hybrid work model in London. Attractive compensation, relocation support, and bespoke development opportunities are offered.

Qualifications

• 3+ years of experience developing and deploying ML systems in production settings.
• PhD, Master’s degree, or equivalent experience in ML, CV, robotics, or related field.
• Strong programming skills in Python with PyTorch experience.
• Data-centric mindset with large-scale datasets and evaluation.
• Collaborative, problem-solving abilities in interdisciplinary teams.

Responsibilities

• Develop World Models and Planners for realistic simulation.
• Advance RL and Reward Modeling across real and synthetic data.
• Develop Geometric Foundation Models for 3D spatial understanding.
• Enable Cross-Embodiment Robotics with multimodal foundation models.
• Conduct empirical research on scaling laws, generalisation, and sim-to-real transfer.
• Define and evolve evaluation frameworks and benchmarks for long-horizon prediction.

Education

PhD or MSc in ML/Robotics

Tools

Python

PyTorch

Job description

Wayve is seeking Research Scientists to join Wayve Labs and advance embodied AI for autonomous driving and robotics. You’ll work at the intersection of ML, simulation, robotics, and real-world deployment, contributing to core innovations that push the frontier of embodied AI.

We are a high-conviction research team prioritising multi-year breakthroughs with a hybrid work model in London. Attractive compensation, relocation support, and bespoke development opportunities are offered.