Machine Learning Engineer - Behavior and Planning

The role

You will develop ML-first behavior modules to predict trajectories and behaviors of road users. You will prototype, evaluate, and deploy state-of-the-art ML algorithms for autonomous vehicles and other road users.

What you will do

• Prototype, evaluate, refine, and deploy state-of-the-art ML algorithms that generate driving trajectories
• Leverage established products to build software and infra foundation for behavior-specific ML development
• Collaborate with perception and planning engineers and research teams on cross-team models and techniques

Required qualifications

• Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field
• Expertise in at least one of the following subdomains: modeling, input pipelines, evaluation, deployment, or model optimization
• Experience with the end-to-end development cycle of deep learning models
• 2+ years of experience building production software using modern software practices
• Fluency in Python
• Intermediate experience in C++

Nice to have

• Peer-reviewed research at machine learning conferences like NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA
• Experience with driver assistance or autonomous driving systems
• Experience in evaluating and improving system-in-the-loop model performance

Benefits

• Base salary
• Equity in the form of options and/or restricted stock units
• Comprehensive health, dental, vision, life and disability insurance coverage
• 401k retirement benefits with employer match
• Learning and wellness stipends
• Paid time off

About the company

Applied Intuition, Inc. is a Silicon Valley company creating digital infrastructure for physical AI. It services the automotive, defense, trucking, construction, mining and agriculture industries.