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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying computer vision and 3D perception models, with a strong focus on the full machine learning lifecycle and practical problem-solving in automotive applications. Proficient in building scalable data pipelines and enhancing real-world driving performance through advanced perception techniques.
Highest-signal resume keywords
Computer Vision Development3D Perception EngineeringDeep Learning SystemsData Pipeline ConstructionAutomotive Domain Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep Learning3D ReconstructionLiDARMulti-View GeometryTrackingModel EvaluationDataset GenerationAuto-LabelingInstance Segmentation
Soft Skills
Problem-SolvingCollaborationOwnership
Industry Keywords
ADASPerception CapabilitiesEvaluation SignalsProduction StackData Flywheel
About the role
Key responsibilities & impact- Train, debug, and improve computer vision and 3D perception models based on evaluation signals
- Work across the full ML lifecycle: data, training, evaluation, and iteration
- Partner with the team to prioritize work based on system underperformance
- Build scalable data pipelines, including auto-labelling and pseudo-labelling
- Develop ADAS perception capabilities including detection, classification, and instance segmentation for lanes, objects, traffic signs, and traffic lights
- Build end-to-end approaches enabling models to act directly on the world
- Develop online perception running in-car within the production stack
- Develop offline perception using lidar, future frames, maps, and additional compute
- Build the data flywheel using offline models and 3D tracking/reconstruction to auto-generate labels and accelerate perception iteration
- Participate in recruiter, competency, deep-dive technical, and final mission-and-values interviews
Requirements
What you’ll need- Built and shipped CV-focused deep learning systems, with strong applied ML engineering rather than research-only work
- Experience with 3D perception concepts or pipelines, such as LiDAR, multi-view geometry, tracking, or 3D reconstruction
- Comfortable owning work end-to-end, including evaluation and large-scale dataset generation
- Enjoy pragmatic problem-solving under real product constraints
- Excited to improve real-world driving performance through better perception
- Automotive domain experience is a bonus, but not a blocker if your perception background comes from elsewhere
- Programming and system design interview requirements
- Must be eligible to work in the country where applying
Benefits
Comp & perks- Salaries benchmarked against the market annually
- Meaningful equity, sharing in the ownership and long term success of Wayve
- Relocation support and visa sponsorship where applicable
- Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
- Learning and development budgets with support for training, conferences and growth
- Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partner discounts and more