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Applied Scientist, Multi-Modal Pre-Training Team

1 month ago

Mountain View, Arkansas, United States Wayve Full time
About Wayve

Wayve is a leading developer of Embodied AI technology, founded in 2017. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate complex environments, enhancing the usability and safety of automated driving systems.

Our Vision

We aim to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

The Role

We are seeking a talented Applied Scientist to join our team. As a key member of our diverse, cross-disciplinary team, you will help teach our robots how to drive safely and comfortably in complex real-world environments.

Key Responsibilities
  • Leverage large, rich, and diverse sources of real-world driving data
  • Architect models to employ the latest advances in foundation models, transformers, and world models
  • Develop and apply learning algorithms, such as reinforcement learning and behavioral cloning
  • Leverage simulation for controlled experimental insight, training data augmentation, and re-simulation
  • Scale models efficiently across data, model size, and compute, while maintaining efficient deployment on the car
Requirements
  • Thorough knowledge of and 5+ years applied experience in AI research, computer vision, deep learning, reinforcement learning, or robotics
  • Ability to deliver high-quality code and familiarity with deep learning frameworks (Python and PyTorch preferred)
  • Experience leading a research agenda aligned with larger goals
  • Industrial and/or academic experience in deep learning, software engineering, automotive, or robotics
  • Experience working with training data, metrics, visualization tools, and in-depth analysis of results
  • Ability to understand, author, and critique cutting-edge research papers
  • Familiarity with code-reviewing, C++, Linux, and Git is a plus
  • PhD in a relevant area and/or track records of delivering value through machine learning are a big plus
About You

We're looking for a talented individual with a strong background in AI research, computer vision, deep learning, or robotics. If you're passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

This is a full-time role based in our office in Mountain View. We operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships, and learning, and time spent working from home.