Latest AI JobsBrowse Jobs
wayve logo

Applied Scientist/Machine Learning Engineer, Gaia

wayveLondon, United KingdomSimulation, Evaluation, Validation
Apply on company site
Salary
Not listed
Job type
Full-time
Experience
Senior · 4+ yrs
Posted
2 Oct 2026
Status
Open · checked 7d ago

About this role

Wayve is hiring an Applied Scientist or Machine Learning Engineer in London, United Kingdom, to advance generative simulation systems for autonomous driving. This role is a strong fit for professionals with a solid background in generative video or world models who want to shape the future of embodied intelligence.

Role Overview

Wayve is seeking an Applied Scientist or Machine Learning Engineer for the Generative Simulation team in London, United Kingdom. The position involves developing next-generation world models and planners like GAIA. The successful candidate will work at the intersection of machine learning research, multi-modal modeling, and real-world deployment to improve simulation efficiency, interactivity, and scalability.

Key Responsibilities

Set technical direction and design key components of the generative simulation system.
Implement and debug new modeling capabilities through focused deep work and coding.
Brainstorm ideas with teammates, pair to solve difficult problems, and participate in daily sync-ups.
Review pull requests, experimental designs, and outcomes to provide mentorship and async feedback.
Read latest research papers and summarize them for team reading groups.
Invent efficient generative world models using diffusion, transformer, or hybrid architectures for real-time roll-outs and scene editing.
Architect interactive world models that enable reinforcement learning, planning, and safety evaluation loops.
Optimize end-to-end performance from latent compression to context pruning to reduce inference latency.
Define metrics for long-horizon coherence, physics fidelity, and planner integration, running scaling studies and ablations.
Integrate models into closed-loop training and evaluation, measuring the sim-to-real gap against on-road results.
Guide junior researchers, shape technical roadmaps, and publish work at top venues.

Requirements

4+ years of experience in machine learning research or engineering with a focus on generative video and world models.
Deep knowledge in diffusion and latent-video models with a track record of improving sampling efficiency or model throughput.
Experience working with high-dimensional temporal or spatial-temporal data such as video and multi-sensor fusion.
Strong Python and PyTorch engineering fundamentals with experience building research-grade production tools.
Strong publication record or contributions to open-source machine learning tooling.
Ability to work collaboratively in a fast-paced, interdisciplinary team environment.

Skills and Tools

Python
PyTorch
Diffusion models
Latent-video models
Generative world models
Multi-modal modeling
Spatial-temporal data processing

Salary and Benefits

Salaries benchmarked annually against the market.
Meaningful equity providing company ownership.
Relocation support and visa sponsorship where applicable.
Hybrid working model with core hours and access to vehicle workshops and labs.
Learning and development budgets for training, conferences, and growth.
Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension plans, therapy access, and wellbeing partnerships.

About the Company

Wayve builds embodied intelligence to move real vehicles safely and powers an ecosystem for future autonomous machines. The company develops an end-to-end AI platform that enables vehicles to learn directly from real-world experience rather than relying on hand-coded rules or pre-mapped environments. Operating in a hybrid work environment with hubs globally, Wayve focuses on making autonomy universal across L2+ to L4 automation levels.

How to Apply

Candidates should apply directly on the official Wayve careers page.

Skills and tech stack

PythonPyTorchReinforcement LearningMachine LearningDiffusion

Questions candidates ask

What team will I be working in?

You will be working in the Generative Simulation team, which advances end-to-end autonomous driving research and develops next-generation world models and planners like GAIA.

Where is this position located?

This role is based in London, United Kingdom, utilizing Wayve's hybrid working model that combines in-office collaboration with remote flexibility.

How many years of experience are required?

The role requires 4+ years of experience in machine learning research or engineering with a focus on generative video and world models.

Is visa sponsorship available for this role?

Yes, relocation support and visa sponsorship are provided where applicable.

What is the interview process like?

The interview process includes an initial 30-minute recruiter screen, 2 hours of competency interviews covering programming, PyTorch debugging, and a hiring manager chat, 3 hours of deep-dive technical interviews, and a final 45-minute mission and values alignment interview.

Ready to apply?

The application is on the official wayve careers page.

Apply on company site