Machine Learning Engineer • Senior

Who you are

You have 5+ years of experience in machine learning engineering, particularly in developing and optimizing models for real-world applications. Your expertise in Python and frameworks like TensorFlow and Keras allows you to build robust machine learning systems that can handle complex data. You understand the intricacies of data analysis and are skilled at extracting insights from large datasets to inform model development.

You have a strong background in perception technologies, particularly in the context of autonomous systems. Your experience includes working with multi-modal data and developing algorithms that enhance the ability of systems to interpret and respond to their environments. You are comfortable collaborating with cross-functional teams, including ML engineers and infrastructure specialists, to drive projects from conception to deployment.

Your problem-solving skills are top-notch, and you thrive in environments where you can tackle challenging technical issues. You are adept at optimizing end-to-end training processes and have a keen understanding of the trade-offs involved in model performance and training efficiency. You are passionate about advancing the field of autonomous driving and are eager to contribute to innovative solutions that improve safety and mobility.

Desirable

Experience with large-scale data processing and distributed systems is a plus. Familiarity with cloud platforms such as AWS or GCP can enhance your contributions to the team. You are also encouraged to bring any experience with simulation environments or real-world testing of autonomous systems to the table.

What you'll do

In this role, you will work closely with ML engineers and infrastructure teams to design and implement a multi-stage training system that builds foundational and onboard models for the Waymo Driver. Your primary focus will be on optimizing training latency to ensure that new features can be released efficiently while minimizing the time-to-impact of any new issues that arise.

You will be responsible for setting the roadmap for model development and ensuring that the team adheres to best practices in machine learning. This includes conducting experiments to validate model performance and iterating on designs based on empirical results. You will also collaborate with research teams at Alphabet to leverage cutting-edge advancements in machine learning and perception technologies.

Your contributions will directly impact the safety and reliability of the Waymo Driver, as you will be enhancing its ability to perceive and react to the world around it. You will have access to millions of miles of driving data, which will inform your work and help you develop models that are both accurate and efficient.

What we offer

Waymo provides a competitive salary range of $281,000—$356,000 USD, along with eligibility for an annual bonus program and equity incentive plan. You will also enjoy a generous benefits program that supports your well-being and professional growth. The company fosters a collaborative and innovative culture, where your contributions will be valued and recognized. Join us in our mission to revolutionize mobility and make the roads safer for everyone.