Principal Machine Learning Engineer, Geometric Vision
Wayve · Sunnyvale
Posted 29 days ago · $ 407,330 to $ 460,020
or apply directly on Wayve's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 29 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 Principal Machine Learning Engineer in Geometric Vision at Wayve, you will lead the development of 3D foundation models for autonomous driving systems. Your role involves designing and training models using large-scale sensor data, developing scalable data pipelines, and optimizing models for production deployment. You will also set the technical direction for geometric vision and collaborate with cross-functional teams to enhance the capabilities of autonomous vehicles.
- 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
- Deep expertise in 3D computer vision, geometric vision, or 3D machine learning
- Strong experience designing, training, and evaluating modern deep-learning models at scale using PyTorch or a comparable framework
- Strong mathematical and technical foundations in geometry, linear algebra, probability, optimization, and 3D transformations
- Excellent software engineering skills in Python and C++
- A track record of taking difficult research problems from idea to working system
- Principal-level technical leadership skills
Nice to have
- Experience with multi-view geometry, dense 3D reconstruction, neural fields, NeRFs, Gaussian Splatting, or feedforward 3D models
- Experience with large-scale vision pre-training, self-supervised learning, video models, generative models, or learned scene dynamics
- Knowledge of offline SLAM, structure-from-motion, reconstruction, calibration, auto-labeling, and large-scale ground-truth generation
- Experience with learned representations and fusion across camera, radar, LiDAR, and other sensing modalities
- Experience with distributed training, large-scale experimentation, and deploying neural networks on real-time, resource-constrained hardware
What you get
- Hybrid working policy combining office and remote work
- Competitive equity package
- Reasonably estimated salary range from $407,330 to $460,020
Worth weighing
- No specific mention of benefits beyond salary and equity package
- Role requires deep expertise in niche areas of machine learning and computer vision
- Fast-paced environment may involve high levels of uncertainty and complexity
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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