Member of Technical Staff, ML Engineer

Odyssey; London; On-site; GBP 60,000 - 100,000; Full time

Job description

Odyssey is pioneering world models, the next frontier of artificial intelligence. By learning from the real-world, Odyssey is training a new kind of generative model, capable of generating cinematic, interactive worlds in real-time. Odyssey’s mission is to reinvent film, gaming, and beyond.

Odyssey was founded in late 2023 by Oliver Cameron (Cruise, Voyage) and Jeff Hawke (Wayve, Oxford AI PhD), two veterans of self-driving cars and AI. They’ve since recruited a world-class team of AI researchers from Cruise, Waymo, Wayve, Tesla, Microsoft, Meta, and NVIDIA; lead computer graphics researchers from EA, Ubisoft, and Valve; and technical artists behind Hollywood blockbusters like Dune, Godzilla, Avengers, and Jurassic World.

Odyssey has raised significant venture capital from GV, EQT Ventures, Air Street Capital, DCVC, Elad Gil, Garry Tan, Soleio, Jeff Dean, Kyle Vogt, Qasar Younis, Guillermo Rauch, Soumith Chintala, and researchers from OpenAI, DeepMind, Meta, and Midjourney. Ed Catmull, the founder of Pixar, serves on Odyssey’s board.

Who You Are

• You’re a staff-level or greater engineer, with demonstrated experience in ML topics related to world models. This could include world models, or broader generative ML in computer vision.
• You are passionate about taking state-of-the-art research into user-facing products.

What You’ll Do

• You will develop state-of-the-art world models, generating dynamic, photorealistic worlds in real-time.
• You will draw on work from Odyssey's research team to create models which land in our product.
• You will diagnose and debug issues with model performance, using these insights to improve the model.
• You will design and implement evaluation methods for deployed models, and ensure we have appropriate monitoring and observability systems in place.
• You will collaborate closely with Odyssey's product engineering as these models are shipped to enable new creative experiences.