ML Engineer: Driving Behavior & Planning for Autonomous Vehicles

Fdetimes; Sunnyvale (CA); Sur place; USD 150 000 - 260 000; Plein temps

Résumé du poste

Applied Intuition, Inc. is seeking a Machine Learning Engineer to develop ML-first behavior prediction and planning modules that forecast trajectories and interactions of road users.

You will collaborate with perception and planning teams to build ML-based planners and leverage existing products for infrastructure. The role offers an opportunity to work on state-of-the-art architectures, in an in-office setting in Sunnyvale, with compensation in the $150,000–$260,000 USD annual range and

Qualifications

• Bachelor’s degree in CS/EE/Robotics or related field.
• Experience with end-to-end development cycle of deep learning models.
• 2+ years of experience building production software using modern software practices.
• Fluency in Python with intermediate experience in C++.

Responsabilités

• Prototype, evaluate, refine, and deploy state-of-the-art ML algorithms that generate driving trajectories for autonomous vehicles and other road users in the scene.
• Leverage established products to build the software and infra foundation for behavior-specific ML development.
• Collaborate with perception and planning engineers and research teams on cross-team state-of-the-art models and techniques.

Connaissances

Python

C++

Formation

Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field

Description du poste

Applied Intuition, Inc. is seeking a Machine Learning Engineer to develop ML-first behavior prediction and planning modules that forecast trajectories and interactions of road users.

You will collaborate with perception and planning teams to build ML-based planners and leverage existing products for infrastructure. The role offers an opportunity to work on state-of-the-art architectures, in an in-office setting in Sunnyvale, with compensation in the $150,000–$260,000 USD annual range and