Tech Lead, Wayve Labs

Wayve

Sunnyvale, US
Attractive compensation with salary + equity; bene...
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Phd or master's degree in ml
4+ years applied ml research experience
Deep expertise in foundation models
** Wayve is seeking an Applied Scientist for its Science team, focusing on advancements in AI for autonomous driving. The ideal candidate will possess deep expertise in machine learning and robotics, with a strong emphasis on foundation model development, generative modeling, and reinforcement learning. **

Job Summary

  • Wayve is the leading developer of Embodied AI technology enabling vehicles to perceive and navigate complex environments without maps.
  • The role involves designing large-scale foundation models and developing world models to simulate diverse driving environments.
  • Candidates will collaborate with world-class researchers to shape the future of autonomy while accessing massive real-world datasets.

Matching Summary

Match Score: 75

** Wayve is seeking an Applied Scientist for its Science team, focusing on advancements in AI for autonomous driving. The ideal candidate will possess deep expertise in machine learning and robotics, with a strong emphasis on foundation model development, generative modeling, and reinforcement learning. **

Salary

Attractive compensation with salary and equity; Benefits include onsite chef, nursery scheme, private health insurance, therapy, yoga, bar, social budgets, unlimited L&D, enhanced parental leave; Relocation support with visa sponsorship available

Skills & Requirements

Must-have

  • PhD or Master's degree in ML
  • 4+ years applied ML research experience
  • Deep expertise in foundation models
  • Strong Python and PyTorch programming skills
  • Track record of top-tier conference publications

Nice-to-have

  • Experience in autonomous driving or robotics
  • Familiarity with training at scale using FSDP
  • Knowledge of synthetic-to-real transfer
  • Contributions to open-source ML tools
  • Experience with multimodal sensor data

Key Requirements

  • Minimum 4 years of applied ML research experience
  • PhD, Master's degree, or equivalent in Machine Learning
  • Publication record at NeurIPS, ICML, CVPR, or similar conferences

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter