Machine Learning Engineer - Behavior and Planning
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Summary
Applied Intuition is hiring a Machine Learning Engineer in Sunnyvale to prototype, evaluate, refine, and deploy ML models for autonomous-vehicle driving trajectories and road-user behavior. Day to day, you'll build behavior-focused ML software and infrastructure and collaborate with perception, planning, and research teams, working mainly in Python with intermediate C++.
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.
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
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
Benefits
- Equity
- Health, dental, vision, life, and disability insurance
- 401k retirement plan with employer match
- Learning stipend
- Wellness stipend
- Paid time off