Senior ML Engineer — Core Model Safety for AVs

OpenDigital Limited; Sunnyvale, Northern (CA, KY); Hybrid; USD 312,000 - 389,000; Full time

Benefits offered by this job

Hybrid work policy

Job summary

Wayve in Sunnyvale is seeking a Staff/Senior Machine Learning Engineer to lead the technical direction of learned emergency manoeuvre prediction and collision detection. You will drive from problem definition through modelling, evaluation, integration, and deployment.

You will join the Core Model Safety team with access to large-scale data and close partners in research, simulation, evaluation, and applied engineering. Hybrid work is available, with a strong ownership culture.

Qualifications

• Proven track record of ML engineering and leading technical directions.
• Hands-on experience with ML systems deployed in the real world.
• Proficiency in Python and PyTorch with strong software engineering practices.
• Excellent experimental judgement with falsifiable hypotheses and metrics.
• Senior-level ownership and cross-functional collaboration.

Responsibilities

• Drive Core Model Safety roadmap from research to deployment.
• Train and deploy end-to-end AV 2.0 models for emergency manoeuvre prediction.
• Collaborate on online occupancy models for perception.
• Build high-value evaluations for core capabilities and representation learning.
• Mentor others and align with AV Core, Evaluation, and Product teams.
• Maintain awareness of business context and priorities.

Skills

ML engineering

Python

PyTorch

Experimental judgement

Leadership & collaboration

Tools

C++

CUDA

Distributed training

Job description

Wayve in Sunnyvale is seeking a Staff/Senior Machine Learning Engineer to lead the technical direction of learned emergency manoeuvre prediction and collision detection. You will drive from problem definition through modelling, evaluation, integration, and deployment.

You will join the Core Model Safety team with access to large-scale data and close partners in research, simulation, evaluation, and applied engineering. Hybrid work is available, with a strong ownership culture.