Software Engineer - Prediction and Behavior ML
Develops ML-first behavior prediction modules to forecast road user motions and interactions for autonomous systems. Requires 3+ years experience with deep learning end-to-end cycles, C++/Python fluency, and collaboration with perception/planning teams.
About the job
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
Requirements
- Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field
- 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++
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
Compensation
Base salary range: $125,000 - $222,000 USD annually (plus equity and benefits)
Skills
Machine Learning, Deep Learning, C++, Python, Behavior Prediction, Motion Forecasting, Model Deployment, Model Optimization, Autonomous Driving, Perception Systems
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