ML Engineer: Autonomous Driving Behaviors & Planning

Decisive Point; Sunnyvale (CA); Hybrid; USD 150,000 - 260,000; Full time

Job summary

Applied Intuition is seeking a Machine Learning Engineer to develop ML-first behavior prediction and planning modules for autonomous driving. You will build models predicting future trajectories and interactions of road users, working closely with perception and planning teams to deploy across vehicles and other domains.

In a fast-moving, customer-focused environment, you will collaborate with research on state-of-the-art architectures and contribute to scalable ML infrastructure, impacting

Qualifications

• Bachelor's degree in CS, EE, robotics or related field.
• Expertise in modeling, data pipelines, evaluation, deployment or model optimization.
• Experience with end-to-end development of deep learning models.
• 2+ years of experience building production software with modern practices.
• Fluency in Python with intermediate experience in C++.

Responsibilities

• 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 as well as research teams on cross-team state-of-the-art models and techniques.

Skills

Python

C++

Deep learning

Education

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

Job description

Applied Intuition is seeking a Machine Learning Engineer to develop ML-first behavior prediction and planning modules for autonomous driving. You will build models predicting future trajectories and interactions of road users, working closely with perception and planning teams to deploy across vehicles and other domains.

In a fast-moving, customer-focused environment, you will collaborate with research on state-of-the-art architectures and contribute to scalable ML infrastructure, impacting