Senior Software Engineer Auto Labelling

You will build an offline perception and auto-labelling system using computer vision and machine learning. You will orchestrate training, evaluation, and automation workflows, scale distributed data pipelines, and deploy new ML architectures into production.

Responsibilities

• Build an offline perception and auto-labelling system
• Manage end-to-end orchestration of the auto-labelling training, evaluation, and automation ecosystem
• Architect and scale pipelines for large-scale data and user requests
• Deploy new ML architectures into production

Requirements

• Bachelor's degree in Computer Science, Robotics, or a similar technical field
• 3+ years developing ML systems or ML software-stack solutions
• Understanding of ML system architecture, performance analysis, and profiling tools
• Experience productionizing deep-learning models and large-scale online inference
• Python proficiency
• Experience writing high-quality, well-structured, and well-tested production code

Benefits

• Equity awards
• Medical, dental, and vision coverage for full-time employees
• Unlimited vacation
• Flexible hours
• Work-from-home support
• Daily drinks, snacks, and catered meals when in office
• Team-building activities and social events