Machine Learning Engineer - Behavior and Planning

11 days ago

Sunnyvale, CA, USAMid Level

H1B Sponsor

Base Salary

$151k - $258k/yr

Responsibilities

Prototype, evaluate, refine, and deploy state-of-the-art machine-learning algorithms that generate driving trajectories for autonomous vehicles and other road users.
Use Applied Intuition products to build the software and infrastructure foundation for behavior-specific machine-learning development.
Collaborate with perception and planning engineers and research teams on state-of-the-art models and techniques.
Work on training-data generation and ML-based planner development with perception and planning teams.

Bachelor’s degree in computer science, electrical engineering, robotics, or a related field.
Expertise in at least one of modeling, input pipelines, evaluation, deployment, or model optimization.
Experience with the end-to-end development cycle of deep-learning models.
At least two years of experience building production software using modern software practices.
Fluency in Python and intermediate experience in C++.
Peer-reviewed machine-learning conference research is preferred, including venues such as NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA.
Experience with driver-assistance or autonomous-driving systems is preferred.
Experience evaluating and improving system-in-the-loop model performance is preferred.

Base salary plus equity, including options and/or restricted stock units.
Comprehensive health, dental, vision, life, and disability insurance.
401(k) retirement benefits with employer match.
Learning and wellness stipends.
Paid time off.
Primarily in-office work five days per week, with occasional remote-work flexibility.