Machine Learning Engineer - Behavior and Planning
Applied Intuition is a physical-AI company that provides software platforms for developing, validating, deploying, and operating intelligent vehicles and machines.
About Applied Intuition
Founded in 2017, Applied Intuition builds physical-AI tooling and infrastructure, a Vehicle OS, and a Self-Driving System for automotive, defense, trucking, construction, mining, agriculture, and robotics applications.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will prototype, evaluate, refine, and deploy machine-learning algorithms for driving trajectories and road-user behavior. You will build behavior-focused software and infrastructure, generate training data with perception engineers, and collaborate with planning and research teams on advanced models.
Requirements
- Expertise in modeling, input pipelines, evaluation, deployment, or model optimization
- Experience with the end-to-end deep-learning model development cycle
- 2+ years of production software development experience
- Python fluency
- Intermediate C++ experience
Responsibilities
- Prototype, evaluate, refine, and deploy machine-learning algorithms for driving trajectories
- Build software and infrastructure for behavior-specific machine-learning development
- Collaborate with perception, planning, and research engineers on models and techniques
Benefits
- Equity
- Health, dental, vision, life, and disability insurance
- 401k retirement plan with employer match
- Learning stipend
- Wellness stipend
- Paid time off