Machine Learning Engineer - Behavior and Planning
Applied Intuition2 months 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 models and techniques.
- Deploy work across passenger vehicles, trucking, mining, and other autonomy domains.
Requirements
- 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 research at conferences such as NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA is preferred.
- Experience with driver-assistance or autonomous-driving systems is preferred.
- Experience evaluating and improving system-in-the-loop model performance is preferred.
Benefits
- Primarily in-office work five days per week, with occasional remote flexibility.
- Equity may be included in the total compensation package.
- Comprehensive health, dental, vision, life, and disability insurance.
- 401(k) retirement benefits with employer match.
- Learning and wellness stipends.
- Paid time off.
Categories
ML EngineeringRobotics
About Applied Intuition
Applied Intuition builds software tools, infrastructure, and operating systems for developing, testing, and deploying autonomous and driver-assistance systems across automotive, trucking, defense, construction, mining, and agriculture. It sells enterprise software and services including simulation, sensor data management, HD mapping, and a vehicle OS to OEMs and government customers. Founded in 2017 and headquartered in Sunnyvale, California, it counts 18 of the top 20 global automakers and the U.S. military among its users.