Technical Lead Manager

2 days ago


Mountain View, California, United States Waymo Full time
Join Waymo's Applied Research Team

Waymo is a leader in autonomous driving technology, with a mission to improve access to mobility while saving thousands of lives. Our Applied Research team focuses on developing machine learning solutions to address open problems in autonomous driving.

We're seeking a Technical Lead Manager to plan and implement a machine learning-driven AV planner research agenda. As part of our team, you'll incorporate and extend research in robotics and machine learning to promote the state-of-the-art for high-level planning for autonomous vehicles.

Key Responsibilities:
  • Plan and implement a machine learning-driven AV planner research agenda
  • Incorporate and extend research in robotics and machine learning to promote the state-of-the-art for high-level planning for autonomous vehicles
  • Manage and technically lead a team of research scientists as they grow in their careers
  • Partner across our organizations to land tech in production
  • Publish work at top-tier academic venues
Requirements:
  • Bachelor's degree in Computer Science, Machine Learning, Robotics, or a similar technical field of study
  • 10+ years of experience developing or doing research in deep learning-based systems for robotics, involving dataset, evaluation, and model design
  • 5+ years of experience managing a team
  • Proficiency in Python
  • Hands-on experience developing modern deep learning architectures and training
Preferred Qualifications:
  • Masters or PhD in Machine Learning domain
  • Publications in top-tier conferences or leading open source projects in the related fields
  • Hands-on SWE skills, able to implement or extend large-scale data and evaluation pipelines
  • Proficiency in C++
  • Proficiency in one or more deep learning frameworks
  • Experience in AV planning and related research

Waymo employees are eligible to participate in our discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $320,000—$346,000 USD



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