Staff Machine Learning Engineer, Emergency Trajectory Models
Wayve · Sunnyvale
Posted 22 days ago · $336,400 to $370,300
or apply directly on Wayve's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 22 days Wayve's roles stay open a median of 40 days
- Reposted
- No
- Salary listed
- Yes 40% of Wayve's roles list one
- Ghost-job risk at Wayve
- high 77 stale, 1 reposted of 169 open
- Hiring momentum
- 201 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Wayve's own greenhouse board since 2026-08-03. Full hiring picture for Wayve.
About this role
As a Staff Machine Learning Engineer at Wayve, you will lead the development of an emergency trajectory model for automated driving systems, focusing on high-stakes maneuvers like evasive steering and emergency braking. Your role involves setting technical strategies, designing trajectory-generating policies, and integrating models into the driving stack while collaborating with various teams to ensure safety and performance.
- benefits
- 2/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Wayve as an employer.
What you need
- A track record of staff-level technical leadership: setting direction for ambiguous machine learning programmes, aligning multiple teams, and carrying work from research through production deployment.
- Deep expertise developing learned trajectory-generation or policy models for embodied systems, including architecture design, objective design, training, and empirical validation.
- Hands-on experience with behaviour cloning, reinforcement learning, or related methods, including objective design, distribution shift, robustness, and closed-loop failure analysis.
- Strong machine learning engineering skills in Python and PyTorch, with experience building reproducible training and evaluation systems on large, heterogeneous datasets.
- Exceptional technical judgement and communication: able to make safety-relevant trade-offs explicit, define the evidence needed for decisions, and lead without relying on formal authority.
Nice to have
- Experience applying learned models in autonomous driving or robotics, with strong understanding of motion planning, vehicle dynamics, control, or collision avoidance.
- Experience with specialist, fallback, redundant, mixture-of-experts, or model-routing architectures and the interfaces used to select between them.
- Experience mining, generating, or evaluating rare events using simulation and fleet or real-world data.
- Experience deploying learned policies under real-time latency, reliability, and compute constraints; proficiency in C++, CUDA, or systems optimisation.
- Experience with multimodal, transformer-based, diffusion-based, or other generative trajectory or policy models.
What you get
- Hybrid working policy combining office and remote work.
- Competitive equity package.
- Reasonably estimated salary range from $336,400 to $370,300.
Worth weighing
- No specific mention of benefits beyond salary and equity package.
- Role involves high-stakes decision-making with significant safety implications.
- Focus on rare emergency maneuvers may imply a challenging and potentially high-pressure work environment.
Summarised from Wayve's posting. Read the full original.
Listed by Wayve on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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