Revolutionizing transportation with autonomous driving
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...
Waymo offers comprehensive medical, dental, and vision insurance for employees and their dependents, along with commuter benefits and onsite wellness ...
Waymo fosters a culture of innovation and safety, focusing on the real-world application of autonomous technology. The company values diversity and in...
Waymo • Mountain View, CA, USA
Waymo is hiring a Software Engineer for their Bulk/Interactive Inference team to develop scalable and efficient ML inference platforms. You'll work with technologies like Python and Docker to enhance ML workflows. This position requires experience in machine learning and software development.
You have a strong background in software engineering with a focus on machine learning systems — you've developed and maintained data and ML pipelines that support complex workflows. Your experience includes working with large models and optimizing inference processes to improve throughput and reduce costs. You are proficient in Python and have hands-on experience with containerization technologies like Docker and orchestration tools such as Kubernetes. You understand the importance of collaboration and have worked closely with cross-functional teams to deliver impactful solutions. You are detail-oriented and have a passion for building reliable and scalable systems that enhance developer productivity. You are eager to learn and adapt to new technologies and methodologies in the rapidly evolving field of autonomous driving.
Experience with MLflow or similar tools for managing machine learning workflows is a plus. Familiarity with large language models (LLMs) and their deployment in production environments will set you apart. You are comfortable working in a hybrid environment and can effectively communicate technical concepts to both technical and non-technical stakeholders.
In this role, you will develop and maintain Waymo's inference platform, ensuring it is scalable, high throughput, and low latency. You will collaborate with various teams across Waymo to host both internal and external ML models, including large language models. Your work will involve improving the efficiency of running inference on these models, which is crucial for increasing throughput and saving costs. You will also contribute to the automation and orchestration solutions that make complex ML workflows manageable and reliable. Your contributions will directly impact the performance of the Waymo Driver, enhancing its capabilities and reliability in real-world scenarios. You will be part of a team that is dedicated to pushing the boundaries of autonomous driving technology, and your work will help shape the future of mobility.
Waymo offers a competitive salary range of $170,000 to $216,000 USD, along with eligibility for an annual bonus program and equity incentive plan. You will be part of a mission-driven company that values innovation and collaboration. Our benefits program is generous and designed to support your well-being and professional growth. We encourage you to apply even if your experience doesn't match every requirement — we value diverse perspectives and backgrounds.
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