At a Glance
- Tasks: Lead the development of cutting-edge world models and drive innovative video initiatives.
- Company: Wayve, a pioneering tech company in London with a focus on AI.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and results.
- Why this job: Join a fast-paced team and shape the future of AI technology.
- Qualifications: Strong ML engineering skills and experience with multimodal data.
The predicted salary is between 70000 - 90000 Β£ per year.
Wayve in London is seeking a Staff ML Engineer (Gaia) to own and drive training for frontier-scale world models in-house. You will lead initiatives that push the boundaries of video/world-models, shaping next versions of Gaia in a fast-paced, results-driven environment. The role requires strong hands-on ML engineering, deep knowledge of model architectures, and a track record of scaling training at scale across multimodal data.
Staff ML Engineer - Gaia Video World Model (Hybrid) employer: Necessary Ventures
Wayve is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets inclusivity. As a Data Scientist, you'll not only contribute to cutting-edge AI technology but also benefit from a hybrid working policy that promotes work-life balance and fosters professional growth through collaborative projects and diverse perspectives. Join us to be part of a forward-thinking team dedicated to optimising fleet operations while enjoying a culture that values every individual's unique contributions.