Senior Machine Learning Engineer, Foundation Models
Description For Senior Machine Learning Engineer, Foundation Models
Founded in 2017, Wayve is at the forefront of autonomous vehicle technology, specializing in Embodied AI and foundation models. This senior role focuses on developing advanced AI systems that enable vehicles to navigate complex environments safely and efficiently. As a Senior Machine Learning Engineer, you'll tackle challenging problems in perception, prediction, planning, and control, working with cutting-edge technologies including foundation models, transformers, and world models.
The position offers an opportunity to work with extensive real-world driving data and contribute to groundbreaking research in autonomous driving. You'll be part of a diverse, cross-disciplinary team, developing solutions that span from theoretical research to practical implementation on vehicles. The role combines deep technical work in areas like reinforcement learning, behavioral modeling, and simulation with the potential to publish in top-tier academic conferences.
Wayve offers a collaborative environment where innovation and problem-solving are highly valued. The company emphasizes diversity and inclusion, creating an atmosphere where different perspectives are welcomed and valued. This role is perfect for someone who combines strong technical expertise with a passion for advancing autonomous driving technology and making a real-world impact on transportation safety and efficiency.
The ideal candidate will bring both theoretical knowledge and practical experience in AI and machine learning, with the ability to translate complex research into production-ready solutions. This position offers the unique opportunity to work on technology that could fundamentally transform how vehicles operate and interact with their environment, ultimately contributing to safer and more efficient transportation systems.
Responsibilities For Senior Machine Learning Engineer, Foundation Models
- Work on foundation models for robotics
- Develop model-free and model-based reinforcement learning
- Work on offline reinforcement learning
- Implement large language models
- Develop planning with learned models, model predictive control and tree search
- Work on imitation learning, inverse reinforcement learning and causal inference
- Create learned agent models for cars, people, and other dynamic agents
- Leverage large real-world driving data
- Architect models using latest advances in foundation models, transformers, world models
- Scale models efficiently across data, model size, and compute
- Potential to contribute to academic publications for top-tier conferences
Requirements For Senior Machine Learning Engineer, Foundation Models
- 7+ 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, visualisation tools, and in-depth analysis of results
- Ability to understand, author and critique cutting-edge research papers
- PhD in a relevant area and/or track records of delivering value through machine learning (big plus)
- Familiarity with code-reviewing, C++, Linux, Git is a plus
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