VLA Pre-training Engineer (Deep Learning)

📋 Description Train and refine policies via behaviour cloning and RL across data-to-deployment. Collaborate with Data Collection to define good data, identify failure modes, ensure coverage. Coordinate with external partners to secure high-quality pretraining data. Run pre-/mid-/post-training on the VLA stack; explore modalities and architectures. Build and maintain pipelines: ingest synthetic data and teleop logs, label data, curate datasets, surface failures for retraining. Work with MLOps & Data Platform teams to scale distributed training and edge inference. 🎯 Requirements 3+ years building deep-learning systems with shipped models. Hands-on with LLMs, VLMs, or image/video generative models. DL infra experience: streaming data, checkpoints, state mgmt, distributed training. Strong Python + PyTorch/JAX; profile, debug numerics, maintainable code. Familiarity with modern software engineering practices. Document experiments clearly and communicate trade-offs crisply. 🎁 Benefits Competitive equity: stock options with meaningful upside. 30+ paid days off, including annual leave and UK holidays. Private healthcare, including virtual and in-person care. Pension scheme with 8% total contribution (5% employee, 3% employer). Free daily breakfast, catered lunch, and snacks in-office. Real ownership: direct access to leadership and product direction.