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About the Role
Lead on methods for large-scale data curation and mining, including rare events from a heterogeneous fleet, enabling model introspection for robust driverless operation. Bring insight into how algorithms perform in the real world, seek failure modes, and drive ways to efficiently improve and evaluate them. Work in a focused, high-impact senior team with strong ownership, access to large-scale training and fleet data, and close partners in research, simulation, evaluation, and applied engineering.
Responsibilities
- Lead on large-scale data enrichment within the Core Model Safety team, including collaborations with Pre/Midtraining, reward modelling, self-supervised labelling, and the Data Enrichment Platform.
- Build workflows for large-scale enrichment, data curation, and hard/rare event mining in support of robust model performance and introspection.
- Design and train out-of-distribution detection mechanisms to enable robust driverless operation.
- Work at the intersection of model engineering, infrastructure, compute, and data, shaping the boundaries and architecture across those teams.
- Use judgement and expertise to improve the overall efficiency of the machine learning and operations stack.
Requirements
- Hands-on experience with ML systems deployed in the real world.
- Proficiency in Python and PyTorch, with strong software engineering practices and hands-on experience building reliable machine learning training and evaluation systems.
- Strong track record with ML operations and infrastructure, including experience with distributed computing environments and large-scale inference.
- Senior-level ownership and collaboration: able to lead a substantial technical area, work across research and engineering boundaries, and bring others along through clear written and verbal communication.
- Prior experience in autonomous vehicles or robotics with hands-on deployment and closed-loop validation on physical systems.
- Experience mining, generating, or evaluating rare events using simulation and fleet or heterogeneous real-world data.
- Experience setting up cloud-based monitoring solutions for large-scale operations, including dashboards, logging, and real-time alerts.
- Experience with transformer-based and multimodal architectures, including vision-language models (VLM), vision-language-action models (VLA), or equivalent.
- Proficiency in C++, CUDA, distributed training, or performance optimization for production machine learning systems.
Skills
- Python
- PyTorch
- ML operations
- ML infrastructure
- Distributed computing
- Large-scale inference
- C++
- CUDA
- Distributed training
- Performance optimization
- Transformer-based architectures
- Multimodal architectures
- Vision-language models (VLM)
- Vision-language-action models (VLA)
Location
- London
Work Type
- Full-time
- Hybrid
Experience Level
- Senior
About the Company
- Founded in 2017, Wayve is the leading developer of Embodied AI technology.
- Advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
- Vision is to create autonomy that propels the world forward.
- Intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
- Fast-paced environment where big problems ignite employees.
- Embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions.
- Aim high and stay humble in the pursuit of excellence, constantly learning and evolving.
- Contributions matter.
- Value diversity, embrace new perspectives, and foster an inclusive work environment.
- Back each other to deliver impact.
- Make Wayve the experience that defines your career!
Equal Opportunity
- Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
- We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. 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.
- At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.