Deep Learning Engineer

Description

• Run pre-/mid-/post-training on multimodal LLM/VLM/VLA stacks; plug in new modalities (vision, audio, proprioception, LiDAR/point clouds, …) without breaking existing ones.
• Partner with teleoperations to drive data collection: specify what “good” looks like, ensure diversity/coverage, and close the gap between sim and real.
• Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics
• Build and maintain continuous pipelines: ingest simulation + tele‑op logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining.
• Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment.
• Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference.

Requirements

• Freedom to influence the product and own key initiatives
• Hands‑on with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference.
• You document experiments clearly and communicate trade‑offs crisply.
• Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks.
• Robotics or autonomous driving experience.
• Publications at ICLR/ICML/NeurIPS or equivalent open‑source contributions.
• 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it.
• Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code.
• RL for LLMs or robotics (PPO, DPO, SAC, etc.).
• Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies.
• Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization).

Benefits

In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization.

• Paid vacation with adjustments based on your location to comply with local labor laws
• UK Private Insurance
• Travel opportunities to our Vancouver and Boston offices
• Competitive salary plus participation in our Stock Option Plan
• Office perks: free breakfasts, lunches, snacks, and regular team events

Training + Development

Interview process

Visa Sponsorship

Security clearance