Senior Machine Learning Engineer, ADAS

Overview

In this role, you will advance perception and 3D understanding for driver assistance, working across data, training, evaluation, and iteration to ship robust models. You’ll balance on-car and offline work, building scalable data pipelines and automatic labeling to accelerate development. You’ll partner with the ADAS team to improve real-world driving performance through better perception. This opportunity offers ownership in a mission-driven company building a mapless, scalable AI platform for autonomy.

Pay / Benefits

• salary benchmarking
• meaningful equity
• relocation support and visa sponsorship
• hybrid working and core hours
• learning and development budgets
• comprehensive health and wellbeing benefits

Responsibilities

• Train, debug, and improve CV and 3D perception models using clear evaluation signals
• Own the end-to-end ML lifecycle: data, training, evaluation, and iteration
• Collaborate to decide next priorities based on system underperformance
• Build scalable data pipelines, including auto-labeling and pseudo-labeling
• Develop core ADAS perception capabilities (detection, classification, instance segmentation) across lanes, objects, signs, and signals
• Pursue end-to-end approaches enabling the model to act directly in the world
• Support online perception for in-car production systems and offline perception for data quality and coverage at scale
• Create a data flywheel by using offline models and 3D tracking/reconstruction to auto-generate labels

Key requirements

• Built and shipped CV-focused deep learning systems
• Experience with 3D perception concepts or pipelines (LiDAR, multi-view geometry, tracking, 3D reconstruction)
• Comfortable owning work end-to-end, including evaluation and large-scale data generation
• Pragmatic problem-solving under real product constraints
• Evidence of interest in improving real-world driving perception
• Automotive domain experience is a bonus

• pragmatic problem-solving
• ownership of end-to-end work
• ability to collaborate across teams
• CV-focused deep learning systems
• 3D perception (LiDAR, tracking, 3D reconstruction)
• data pipelines and data generation

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