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Computer Vision & 3D Perception Engineer (ADAS)

wayve • Israel
Visa Sponsorship Relocation
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Develop and optimize computer vision and 3D perception models for real-world driver assistance systems. Manage the full ML lifecycle from scalable data pipeline construction to on-car production deployment. Requires strong applied ML engineering experience in CV and 3D perception concepts.

Key Highlights
Build end-to-end perception capabilities for detection, classification, and instance segmentation
Develop both high-latency offline models for data generation and low-latency online models for production
Create a 'data flywheel' using auto-labelling and pseudo-labelling to accelerate model iteration
Key Responsibilities
Train, debug, and improve computer vision and 3D perception models based on evaluation signals
Manage the full ML lifecycle including data collection, training, evaluation, and iteration
Build scalable data pipelines for auto-labelling and pseudo-labelling to accelerate development
Develop core ADAS capabilities for detection and segmentation of lanes, objects, signs, and lights
Implement online perception models that run efficiently within the production in-car stack
Utilize offline perception and additional sensors like LiDAR to improve data quality and coverage
Technical Skills Required
Computer Vision Deep Learning 3D Perception
Benefits & Perks
Market-benchmarked salaries
Equity
Relocation support
Visa sponsorship
Hybrid working
Learning and development budgets
Health insurance
Dental insurance
Enhanced maternity and paternity leave
Retirement or pension
Nice to Have
Automotive domain experience

Job Description

Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.Here’s what this particular role covers.
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