Senior Machine Learning Engineer, Prediction & Planning, System Architecture (Autonomous Driving)

TL;DR

Senior Machine Learning Engineer, Prediction & Planning, System Architecture (Autonomous Driving): Develop and deploy state-of-the-art ML models to predict future world states and plan vehicle behavior with an accent on system architecture, kinematics, interfaces, and representations. Focus on designing architectures, algorithms, pipelines, evaluation systems, and optimizing for production deployment on autonomous vehicles.

Location: Hybrid/Onsite in Mountain View, CA; San Francisco, CA; or New York City, NY

Salary: $212,500—$270,000 USD

Company

Autonomous driving technology company powering fully autonomous ride-hail service with the hirify.global Driver, experienced over 100 million miles on public roads.

What you will do

• Tackle real-world problems with ML and engineering solutions for prediction and planning.
• Design and build ML models using state-of-the-art techniques and deploy them on production vehicles.
• Develop architectures, algorithms, pipelines, and evaluation systems on large-scale data infrastructure.
• Collaborate with researchers, product owners, and engineers to ensure safe, smooth planning behavior.

Requirements

• Bachelor's in Computer Science, ML, Robotics, or equivalent practical experience.
• Hands-on experience with deep learning libraries (TensorFlow, JAX, PyTorch).
• Proficient in Python, C/C++.
• Strong analytical and problem-solving skills.
• 4+ years in Machine Learning modeling and/or Autonomous Vehicles systems.

Nice to have

• MS or PhD in Computer Science, ML, or Robotics.
• Publications in top conferences (ICML, NeurIPS, CVPR, etc.).
• Prior industry experience in software development or ML research.
• Experience with motion planning or robotics problems.
• ML systems in production and performance optimization for hardware.

Culture & Benefits

• Discretionary annual bonus program and equity incentive plan.
• Generous company benefits program.
• Hybrid role reporting to a Technical Lead Manager.