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# Machine Learning Engineer (Closed Loop)

- **Company:** Wayve
- **Location:** London, UK (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Open Source Technology, Sensor Fusion, Reinforcement Learning, Pytorch, Stable Diffusion
- **Published:** August 26, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=ad9927df1f3df745

## About the Role

In order to set you up for success at Wayve, we're looking for the following skills and experience.

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

Desirable

 * Experience in AVs, robotics, simulation, or other embodied AI domains.
 * Experience working with synthetic-to-real transfer.

## Description

You will be a senior technical contributor inside Simulation, the team that incubates breakthrough ideas for Wayve. Your mandate:

 * Invent next-generation, efficient generative world-models (diffusion, transformer or hybrid) that deliver real-time roll-outs and controllable scene editing.
 * Architect interactive world models where agents (or humans) can step the model, enabling reinforcement learning, planning and safety evaluation loops.
 * Optimise end-to-end performance - from latent compression to context pruning your aim is to reduce inference latency by orders of magnitude.
 * Define robust metrics for long-horizon coherence, physics fidelity and planner integration; run ablations and scaling studies to understand trade-offs.
 * Ship impact: integrate your models into closed-loop training and evaluation, and measure the sim-to-real gap against on-road driving-model results.
 * Mentor & influence: guide junior researchers, shape technical road-maps, publish at top venues and represent Wayve in the community
 * Challenge assumptions and drive innovation: propose bold ideas, conduct ablation studies, and question conventional approaches to training and evaluation.


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