Machine Learning Engineer, ADAS

📋 Description

• Train, debug, and improve CV/3D perception models
• Work end-to-end: data → training → evaluation → iteration
• Build scalable data pipelines, including auto-/pseudo-labelling
• Collaborate to identify where system underperforms and tackle it
• Deliver perception capabilities across lanes, objects, signs, lights

🎯 Requirements

• CV-focused DL systems experience
• 3D perception pipelines experience (LiDAR, tracking, 3D reconstruction)
• End-to-end ownership incl. evaluation and dataset generation
• Data pipeline development for model growth at scale
• Ability to work under product constraints
• Pragmatic problem-solving mindset

🎁 Benefits

• Hybrid working model (office + remote)
• Relocation support and visa sponsorship where applicable
• Competitive salaries with market benchmarking
• Meaningful equity and ownership
• Learning and development budgets
• Comprehensive health benefits