Machine Learning Engineer • Mid-Level

Who you are

You have a strong background in machine learning, with experience in designing and deploying models that automate complex processes. Your expertise in Python and frameworks like TensorFlow and PyTorch allows you to tackle challenging problems in innovative ways. You are familiar with data mining techniques and understand how to process large datasets effectively. Your knowledge of generative AI and computer vision techniques positions you to contribute to cutting-edge projects in mapping automation. You thrive in collaborative environments and enjoy working closely with cross-functional teams to achieve shared goals. You are passionate about advancing technology that enhances safety and mobility.

Desirable

Experience with Vision-Language Models (VLMs) is a plus, as it aligns with the innovative approaches we are exploring at Waymo. Familiarity with the autonomous driving industry or related fields will help you hit the ground running in this role.

What you'll do

In this role, you will be responsible for the complete model development lifecycle, from data mining and processing to model training, evaluation, validation, and productionization. You will design and implement machine learning models that automate the creation of Waymo's high-definition maps, which are crucial for the safe operation of our autonomous vehicles. You will apply and advance state-of-the-art ML techniques, including generative AI approaches, to pioneer new solutions in mapping automation. Collaboration is key; you will work closely with partner ML teams, such as Waymo Perception, to ensure that the mapping data meets the needs of various applications. You will also engage in continuous learning and experimentation to refine your models and improve their performance.

What we offer

Waymo offers a competitive salary range of $204,000—$259,000 USD, along with eligibility for an annual bonus program and equity incentive plan. We provide generous benefits that support your well-being and work-life balance. As part of our mission-driven team, you will have the opportunity to make a significant impact on the future of mobility and safety. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.