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Home›Jobs›Waymo›Senior Research Scientist, Foundation Model (VLM/LLM)
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

Senior Research Scientist, Foundation Model (VLM/LLM)

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

Posted 2w ago🏢 HybridSeniorResearch scientist📍 Mountain view📍 San francisco
Apply Now →

Skills & Technologies

PythonTensorFlowPyTorch

Overview

Waymo is seeking a Senior Research Scientist to conduct applied foundation model research and development in autonomous driving technology. You'll work with Python and deep learning frameworks like TensorFlow and PyTorch. This role requires a Master's or PhD in deep learning and 3+ years of experience.

Job Description

Who you are

You have a Master's or PhD in deep learning, specializing in behavior and agent modeling or simulation. With over 3 years of experience, you are proficient in Python and have a strong background in modern deep learning frameworks, preferably JAX or TensorFlow 2, although PyTorch is acceptable. You are passionate about conducting applied research and developing innovative solutions in the field of autonomous driving.

Your experience includes designing compelling experiments that involve training and evaluating large deep learning models. You have a track record of presenting results to peers and leadership, showcasing your ability to communicate complex ideas effectively. You are detail-oriented and committed to writing high-quality code, unit tests, and documentation to support your research efforts.

Desirable

Experience in the autonomous driving sector or related fields is a plus. Familiarity with large-scale data processing and simulation environments will enhance your contributions to the team. You are eager to collaborate with other research teams within Alphabet, fostering an environment of innovation and knowledge sharing.

What you'll do

In this role, you will conduct applied foundation model research and development, focusing on enhancing the capabilities of the Waymo Driver. You will design and implement experiments that push the boundaries of current technology, evaluating the performance of large deep learning models in real-world scenarios. Your work will directly contribute to the mission of making autonomous driving safer and more reliable.

You will collaborate closely with cross-functional teams, including engineers and product managers, to integrate your research findings into practical applications. Your ability to present results clearly will be crucial in influencing project direction and securing buy-in from stakeholders. You will also mentor junior researchers, sharing your expertise and fostering their growth in the field.

What we offer

Waymo offers a competitive salary range of $204,000 to $259,000 USD, along with eligibility for an annual bonus program and equity incentive plan. You will be part of a dynamic team dedicated to revolutionizing transportation through cutting-edge technology. Our company culture emphasizes collaboration, innovation, and a commitment to safety and reliability in autonomous driving. 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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