Machine Learning Engineer • Mid-Level

Who you are

You have a strong background in machine learning and data engineering, with experience in building and operating large-scale data systems. You are proficient in Python and have hands-on experience with frameworks like TensorFlow and Kubernetes. Your understanding of reinforcement learning and generative AI allows you to tackle complex problems in autonomous driving. You are familiar with AWS and have experience deploying machine learning models in cloud environments. You thrive in collaborative settings and enjoy working with cross-functional teams to drive innovation. You are detail-oriented and have a passion for developing robust machine learning solutions that can operate under various conditions.

Desirable

Experience with MLflow for managing the machine learning lifecycle is a plus. Familiarity with Bayesian inference techniques and robust evaluation methods will help you excel in this role. You are eager to learn and adapt to new technologies and methodologies in the rapidly evolving field of AI.

What you'll do

In this role, you will build and operate the petabyte-scale data systems that are crucial for Waymo's foundation model development. You will shepherd cutting-edge foundation models from research prototypes to robust components within the Waymo Driver. Your work will directly contribute to the mission of safely operating Waymo vehicles in diverse urban environments. You will collaborate with other research teams within Alphabet to foster innovation and share insights. You will also be responsible for designing and implementing machine learning pipelines that ensure data quality and model performance. Your contributions will help improve the Waymo Driver's capabilities and enhance user safety.

What we offer

Waymo provides a competitive salary range of $204,000—$259,000 USD, along with eligibility for an annual bonus program and equity incentive plan. You will enjoy a generous benefits program that supports your well-being and professional growth. The company culture emphasizes collaboration, innovation, and a commitment to making a positive impact on mobility and safety. You will have the opportunity to work with some of the brightest minds in the industry and contribute to groundbreaking advancements in autonomous driving technology.