Staff ML Engineer: Lead Large-Scale Video World Models in London

Staff ML Engineer: Lead Large-Scale Video World Models in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Wayve

At a Glance

  • Tasks: Lead the training of cutting-edge video world models and shape their future.
  • Company: Wayve, a pioneering company in AI and machine learning.
  • Benefits: Competitive salary, flexible working hours, and opportunities for mentorship.
  • Other info: Dynamic work environment with opportunities for professional growth.
  • Why this job: Join a fast-paced team and make a significant impact in AI technology.
  • Qualifications: Experience in machine learning and strong collaboration skills.

The predicted salary is between 60000 - 80000 £ per year.

Wayve seeks a Staff ML Engineer for Gaia, its video world model.

You will own and accelerate training of frontier-scale models developed in-house, and possibly lead a key area to shape Gaia’s next version in a fast-paced environment.

You’ll design and run large-scale video model training, influence architecture and training strategy, and collaborate with research, simulation, and infrastructure teams to drive end-to-end impact while mentoring peers.

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Staff ML Engineer: Lead Large-Scale Video World Models in London employer: Wayve

Wayve is an exceptional employer that fosters a dynamic and innovative work culture, where software engineers can thrive while contributing to cutting-edge AI solutions. With a strong emphasis on employee growth, Wayve offers opportunities for professional development and collaboration in a hybrid work environment, allowing for flexibility and work-life balance. Located in a vibrant tech hub, employees benefit from a supportive community and access to industry-leading resources.

Wayve

Contact Details:

Wayve Recruitment Team

We think you need these skills to ace Staff ML Engineer: Lead Large-Scale Video World Models in London

Machine Learning
Video Model Training
Model Architecture Design
Training Strategy Development
Collaboration Skills
Mentoring Skills
End-to-End Impact Analysis