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Home›Jobs›Waymo›Staff Technical Lead Manager, ML Sensor Validation
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

Staff Technical Lead Manager, ML Sensor Validation

Waymo • Mountain View, CA, USA; San Francisco, CA, USA; Kirkland, WA, USA

Posted 3w ago🏛️ On-SiteLeadTechnical lead📍 Mountain view📍 San francisco📍 Kirkland
Apply Now →

Skills & Technologies

Machine learningPythonTensorFlowData analysis

Overview

Waymo is seeking a Staff Technical Lead Manager for ML Sensor Validation to oversee the Perception Team's efforts in ensuring sensor reliability for autonomous vehicles. You'll work with Machine Learning and Python to develop complex models and techniques. This role requires significant experience in machine learning and sensor validation.

Job Description

Who you are

You have a strong background in machine learning and sensor validation, with at least 5 years of experience in the field. Your expertise in Python allows you to develop and implement complex algorithms that enhance sensor performance. You understand the intricacies of autonomous systems and have a proven track record of leading technical teams to success. Your collaborative spirit enables you to work effectively with hardware and software teams, ensuring that all components of the self-driving car software stack function seamlessly. You are detail-oriented and committed to maintaining high standards of sensor calibration and monitoring. You thrive in a fast-paced environment and are passionate about advancing autonomous driving technology.

Desirable

Experience with large-scale data processing and analysis is a plus, as is familiarity with TensorFlow and other machine learning frameworks. You may have contributed to research publications or have experience in a similar role within the autonomous vehicle industry. Your ability to communicate complex technical concepts to non-technical stakeholders will set you apart.

What you'll do

As the Staff Technical Lead Manager, you will lead the Sensor Health team, ensuring that all sensors are properly calibrated and monitored at all times. You will oversee the development of algorithms that process data from next-generation sensors, collaborating closely with both hardware and software teams to optimize performance. Your role will involve conducting novel research to address real-world perception problems, leveraging millions of miles of driving data to enhance the Waymo Driver's capabilities. You will mentor and guide your team, fostering an environment of innovation and continuous improvement. Additionally, you will be responsible for setting technical direction and ensuring that the team meets its goals in a timely manner.

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 have access to generous company benefits, including health insurance, retirement plans, and opportunities for professional development. Join us in our mission to improve access to mobility and save lives through cutting-edge autonomous driving technology. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

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