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Home›Jobs›Waymo›Sr. Staff ML Infra Marketplace Optimization
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

Sr. Staff ML Infra Marketplace Optimization

Waymo • Mountain View, CA, USA

Posted 3w ago🏛️ On-SiteSeniorMachine learning engineer📍 Mountain view
Apply Now →

Skills & Technologies

PythonTensorFlowKubernetesAWSDockerMLflow

Overview

Waymo is seeking a Senior Staff ML Infra Marketplace Optimization Engineer to create ML infrastructure for real-time decision-making in pricing and vehicle matching. You'll work with technologies like Python and TensorFlow in Mountain View, CA. Salary range: $281,000—$356,000.

Job Description

Who you are

You have 5+ years of experience in machine learning and infrastructure development, with a strong background in building and deploying ML models at scale. Your expertise in Python and TensorFlow allows you to create robust solutions that drive real-time decision-making in complex environments. You are familiar with Kubernetes and Docker, enabling you to manage containerized applications effectively. Your experience with AWS equips you with the skills to leverage cloud services for scalable ML infrastructure. You understand the intricacies of optimization algorithms and have a passion for improving system efficiency and performance.

Desirable

Experience with MLflow for managing the ML lifecycle is a plus, as is familiarity with data pipelines and model deployment strategies. You thrive in collaborative environments and enjoy working closely with cross-functional teams to deliver impactful solutions. You are proactive in identifying opportunities for improvement and are committed to continuous learning and growth in the field of machine learning.

What you'll do

In this role, you will create and maintain the ML infrastructure that powers Waymo's marketplace optimization efforts. You will design and implement algorithms for dynamic pricing, rider-vehicle matching, and demand forecasting, ensuring that our systems operate efficiently and effectively. Your work will involve collaborating with data scientists and engineers to develop and deploy machine learning models that make real-time decisions. You will also be responsible for optimizing existing models and algorithms to enhance performance and scalability.

You will lead initiatives to improve the overall architecture of our ML systems, ensuring they are robust, scalable, and capable of handling large volumes of data. You will participate in code reviews and provide mentorship to junior engineers, fostering a culture of knowledge sharing and continuous improvement within the team. Your contributions will directly impact the efficiency of our autonomous vehicle network and the overall rider experience.

What we offer

Waymo offers a competitive salary range of $281,000—$356,000, along with participation in our discretionary annual bonus program and equity incentive plan. You will have access to generous company benefits, including health and wellness programs, professional development opportunities, and a collaborative work environment that encourages innovation and creativity. Join us in our mission to improve access to mobility and save lives through cutting-edge autonomous driving technology.

Interested in this role?

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