1 day ago
Sunnyvale, CA, USAStaff+
Base Salary
$336k - $370k/yr
Responsibilities
- Own Core Model Safety roadmap themes across research, offline and online experimentation, and technology transfer.
- Train and deploy end-to-end autonomous driving models on Wayve’s global fleet using large-scale, diverse data.
- Build open-loop and closed-loop evaluations for core capabilities and representation learning.
- Collaborate with AV Core, Evaluation, Product Engineering, fleet, simulation, and product teams on roadmaps and failure modes.
- Mentor team members and provide technical direction across cross-functional initiatives.
Requirements
- At least 5 years of machine learning engineering experience, including scoping ambiguous problems, designing evaluations, establishing direction, and enabling others to build on the work.
- Proficiency in Python and relevant languages such as C++ and CUDA, with strong PyTorch and software engineering foundations.
- Hands-on experience with transformer-based and multimodal architectures, including vision-language models, vision-language-action models, or equivalent.
- Hands-on experience training shared representations with multiple tasks or objectives, including trade-offs across data and losses.
- Staff-level technical leadership, research literacy, pragmatic judgment, cross-functional leadership, and mentoring ability without formal line management.
- Experience in autonomous vehicles or robotics, physical-system deployment, closed-loop validation, 3D scene understanding, representation learning, reward or behavior modeling, model interpretability, safety-critical systems, foundations or pretraining, applied engineering, large-scale training infrastructure, or agentic workflows is desirable.
Benefits
- Full-time role based in Sunnyvale with a hybrid policy combining office and workshop time with working from home.
- Competitive equity package.
- Inclusive interview experience with accommodations or adjustments available upon request.
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