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Home›Jobs›Waymo›Technical Lead, Planner
Waymo

About Waymo

Revolutionizing transportation with autonomous driving

🏢 Tech👥 1001+ employees📅 Founded 2009📍 Mountain View, CA💰 $11.1b⭐ 3.7
B2CTransportAutomation

Key Highlights

  • Operates in cities like Phoenix, San Francisco, and LA
  • Completed over 10 million fully driverless rides
  • Raised $11.1 billion in funding
  • Aiming for one million trips per week by 2026

Waymo, a subsidiary of Alphabet Inc., is at the forefront of autonomous driving technology, operating robotaxis in cities like Phoenix, San Francisco, and Los Angeles. With over 10 million fully driverless rides and more than 100 million miles driven, Waymo is transforming transportation. The compan...

🎁 Benefits

Waymo offers comprehensive medical, dental, and vision insurance for employees and their dependents, along with commuter benefits and onsite wellness ...

🌟 Culture

Waymo fosters a culture of innovation and safety, focusing on the real-world application of autonomous technology. The company values diversity and in...

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Waymo

Technical Lead, Planner

Waymo • Mountain View, California, USA; New York, New York, USA

Posted 3w ago🏢 HybridLeadTechnical lead📍 Mountain view📍 New york
Apply Now →

Skills & Technologies

Machine learningPython

Overview

Waymo is hiring a Technical Lead, Planner to provide technical leadership for ML model development and mentor junior engineers. You'll work at the intersection of robotics and modern ML, focusing on improving the Waymo Driver's capabilities.

Job Description

Who you are

You have a Masters or PhD degree in Computer Science, with a strong background in machine learning and robotics. You possess experience in providing technical leadership and mentoring junior engineers, guiding them through complex projects and fostering their professional growth. Your analytical skills allow you to investigate driving behavior issues effectively, understanding root causes and implementing solutions. You are adept at improving the performance of state-of-the-art ML models, ensuring they meet the high standards required for autonomous driving applications. You have a passion for developing foundational frameworks that advance the capabilities of autonomous systems while maintaining interpretability and behavioral guarantees. You thrive in collaborative environments, working closely with cross-functional teams to achieve shared goals.

Desirable

Experience with large-scale machine learning systems and a deep understanding of the challenges involved in autonomous driving technology would be advantageous. Familiarity with software development best practices and tools is also a plus, as is a proactive approach to problem-solving and innovation.

What you'll do

In this role, you will provide technical leadership for the development of machine learning models specifically for Planner Selection, ensuring that the models are robust and reliable. You will mentor junior engineers, sharing your expertise and guiding them through the intricacies of machine learning and robotics. Your responsibilities will include investigating driving behavior issues by analyzing logs, identifying root causes, and implementing improvements. You will work on enhancing the performance of existing ML models, pushing the boundaries of what is possible in autonomous driving. Additionally, you will develop foundational frameworks that support the advancement of the Waymo Driver's capabilities, ensuring that the technology remains at the forefront of the industry. Collaboration will be key, as you will work closely with various teams to integrate solutions that address real-world driving scenarios.

What we offer

Waymo offers a competitive salary range of $238,000—$302,000 USD, along with eligibility for an annual bonus program and equity incentive plan. You will be part of a mission-driven company focused on improving access to mobility and saving lives through innovative technology. Our benefits program is generous, designed to support your well-being and professional growth. Join us in shaping the future of autonomous driving and making a meaningful impact on transportation.

Interested in this role?

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