Autonomous Driving ML Engineer: Trajectory & Planning

Applied Intuition; Sunnyvale (CA); On-site; USD 150,000 - 260,000; Full time

Benefits offered by this job

Equity in compensation

Health insurance

401k with employer match

Paid time off

Job summary

Applied Intuition is seeking a Machine Learning Engineer to build ML-first behavior prediction and planning modules, predicting trajectories and interactions of road users. You will collaborate with perception and planning teams and contribute to state-of-the-art architectures.

The role offers cross-team collaboration and impact across customer-focused autonomous systems. Ideal candidates have a CS/EE/Robotics background, strong Python and C++, and experience delivering production ML software.

Qualifications

• Bachelor's degree in CS, EE, Robotics, or related field.
• Experience with end-to-end development of deep learning models.
• 2+ years building production software using modern software 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.
• Collaborate with perception and planning engineers and research teams on state-of-the-art models.
• Leverage Applied Intuition's products to build the software and infra foundation for behavior-specific ML development.

Skills

Python

C++

Deep learning

Education

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

Tools

TensorFlow

PyTorch

Git

Job description

Applied Intuition is seeking a Machine Learning Engineer to build ML-first behavior prediction and planning modules, predicting trajectories and interactions of road users. You will collaborate with perception and planning teams and contribute to state-of-the-art architectures.

The role offers cross-team collaboration and impact across customer-focused autonomous systems. Ideal candidates have a CS/EE/Robotics background, strong Python and C++, and experience delivering production ML software.