Wayve

AI

MachineLearningEngineer

$284–382k Sunnyvale, California, United States; Detroit, Michigan, United States FULL TIME Remote Friendly
The Brief

“Machine Learning Engineer at Wayve. Skills: Deep learning, Python, Autonomous driving, ML systems. Develop end-to-end driving models. Improve driving models”

What You'll Achieve.

Enhancing the usability and safety of automated driving systems; Accelerating the transition from assisted to automated driving; Deliver ML-driven behaviors that scale; Build systems that are performant, adaptable, and ready for production; Ensure product readiness; Drive scenario diversity; Drive coverage; Drive feature-specific development; Deliver impact

Industry & Context.

AI
Problems you'll solve

Embrace uncertainty; Lean into complex challenges

What They're Looking For.

Must Have

Extensive and proven track record of shipping deep learning systems to production, Expert in deep learning (esp. sequential models, control, planning, or perception), Proficient in Python and other relevant languages (e. g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices, Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components, Ability to lead technical initiatives across teams, drive alignment, and mentor engineers

Nice to Have

Prior work in autonomous driving, imitation learning, or trajectory prediction, Familiarity with personalization, human behavior modeling, or driver intent inference, Experience integrating ML systems into production hardware or multi-agent simulation

What You'll Do.

Develop end-to-end driving models

Improve driving models

Lead personalized driving projects

Lead collaborative driving projects

Build evaluation pipelines

Curate real-world data

Curate synthetic data

Influence architecture choices

Influence training methodologies

Influence deployment pathways

Collaborate cross-functionally

Ensure iteration velocity

Mentor senior engineers

Shape technical direction

How You'll Work.

Team & Collaboration

Collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams; Collaborate cross-functionally across various teams; Drive alignment across teams; Back each other to deliver impact

Process & Methodology

Lead technical initiatives

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