Applied Intuition is looking to solve the problem of developing ML-first behavior prediction and planning for autonomous systems, specifically forecasting the future motions of road users and predicting their interactions.
Requirements
- Experience with the end-to-end development cycle of deep learning models
- Expertise in subdomains such as modeling, input pipelines, evaluation, deployment, and model optimization
- 3+ years of experience building production software using modern software practices
- Fluency in C++, or fluency in Python with intermediate experience in C++
- 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
Responsibilities
- Prototype, evaluate, refine, and deploy state-of-the-art ML algorithms that predict the future motion of the ego agent and other road users in the scene
- Leverage established products at Applied Intuition to build the software and infra foundation for behavior-specific ML development
- Collaborate tightly with perception and planning engineers on many cross-team initiatives
Other
- In-office work 5 days a week with occasional remote work flexibility
- 3+ years of experience
- Bachelor's, Master's, or Ph.D. degree (not explicitly mentioned but implied)
- Ability to work in a dynamic and customer-focused team culture
- Hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality
