Staff Machine Learning Engineer, Prediction & Planning - System Architecture (AI)

TL;DR

Staff Machine Learning Engineer (AI/Robotics): Developing and deploying state-of-the-art machine learning models for predicting environment states and planning autonomous vehicle behavior with an accent on system architecture, kinematics, and onboard interfaces. Focus on building scalable ML pipelines on Google's data infrastructure and optimizing deep models for production hardware.

Location: Hybrid; must be based in Mountain View, San Francisco, or New York City (USA)

Salary: $250,750—$318,600 USD

Company

hirify.global is an autonomous driving technology company building the world's most experienced driver to improve mobility and safety.

What you will do

• Design and build ML models and deploy them in the real world on production vehicles.
• Develop architectures, algorithms, pipelines, and evaluation systems using Google's extensive data infrastructure.
• Collaborate with researchers and product owners to develop safe and smooth planning behavior for all road users.
• Tackle challenging real-world problems using combined ML and engineering solutions.

Requirements

• Bachelor's degree in Computer Science, ML, Robotics, or a similar technical field.
• 7+ years of experience in Machine Learning modeling and/or Autonomous Vehicles systems.
• Proficiency in Python, C/C++, and modern deep learning libraries such as TensorFlow, JAX, or PyTorch.
• Strong analytical and problem-solving skills.
• Must be based in or able to work from Mountain View, San Francisco, or New York City.

Nice to have

• MS or PhD in Computer Science, Machine Learning, Robotics, or a related field.
• Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP.
• Experience with performance optimization of deep models for specific hardware architectures.
• Prior industry experience in ML research or software development solving motion planning and robotics problems.

Culture & Benefits

• Discretionary annual bonus program.
• Equity incentive plan.
• Generous company benefits program.
• Opportunity to work on the world's most experienced autonomous driving system.