Member of Technical Staff, Foundation Models

Odyssey; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Odyssey is seeking a software engineer with a strong ML focus to work on real-time world model simulation. You will explore how data, models, and diffusion interact and contribute to advancing the world model space.

The role emphasizes building robust ML systems and iterating on performance across experiments. You will implement state-of-the-art ML techniques, define meaningful metrics, and optimize training and inference on modern GPUs.

Qualifications

• 1+ years of software engineering with ML performance focus.
• 2+ years of ML experience.
• Proficiency with PyTorch (or TF/JAX).
• Track record of end-to-end project ownership.
• Comfort across ML pipelines and experimentation.

Responsibilities

• Learn what makes real time world models tick and how data, models, and diffusion interact.
• Implement state of the art ML algorithms, define metrics, and iterate on leaderboards.
• Be part of a team defining and leading the world model space.
• Exploit latest GPU features to improve training and inference efficiency.
• Take ownership of the full ML stack used by researchers and engineers.

Skills

ML performance

PyTorch

End-to-end ownership

Experiment driven

GPU acceleration

Tools

CUDA

TF/JAX

Job description

Who We Are

Odyssey is an AI lab pioneering general world models: causal, multimodal systems that learn to predict and interact with the world over long horizons. This foundational technology promises to revolutionize robotics, science, healthcare, education, gaming, defense, and beyond.

Who We Are

Odyssey is an AI lab pioneering general world models: causal, multimodal systems that learn to predict and interact with the world over long horizons. This foundational technology promises to revolutionize robotics, science, healthcare, education, gaming, defense, and beyond. Odyssey's founders previously pioneered the most complex application of physical AI: self-driving cars. They've now brought together a world-class research team from DeepMind, Tesla, Waymo, Meta, Apple, and Wayve, who have made significant contributions to language models (DeepMind Gemini), video models (DeepMind Veo), world models (Wayve GAIA), and autonomous systems (Tesla FSD). Odyssey has raised significant venture capital from GV, Amazon, AMD, EQT, NVIDIA, Natural Capital, In-Q-Tel, Elad Gil, Jeff Dean, Guillermo Rauch, Garry Tan, Kyle Vogt, and researchers from OpenAI, DeepMind, MSL, Recursive, and Thinking Machines.

What We're Looking For

The right person will have a deep interest in improving machine learning algorithms. Real-time world model simulation is a cutting edge research area that is not yet mature. You will be working at the cusp of what's possible. Most new experiments in this area will fail, your focus will be on maximally learning from failed experiments to increase the chances of eventual success.

What You’ll Do

• Learn what makes real time world models tick. Understand how data, models and diffusion algorithms interact.
• Implement state of the art ML algorithms, define metrics, and relentlessly iterate on leaderboards.
• Be part of a team that is defining and leading the world model space.
• Exploit the latest features on modern GPUs to increase training and inference efficiency.
• Take ownership of the full ML stack, including the core frameworks that Odyssey researchers and product engineers alike rely on.

Who You Are

• 1+ years of software engineering experience, with significant work in ML performance.
• 2+ years of ML experience.
• Track record of owning projects end to end.
• Not shy to touch any stage of an ML pipeline.
• Proficiency with PyTorch (or TF/JAX).
• Highly experiment driven.