Reimagining transportation for a better world
Uber Technologies, Inc. (NYSE: UBER) is a leading ride-hailing platform headquartered in Mission Bay, San Francisco, CA. Founded in 2009, Uber has transformed transportation services, completing over 1.5 billion trips globally. The company went public in May 2019 and has raised $15.8 billion in fund...
Uber provides comprehensive healthcare, a robust employee stock purchase plan, generous paid vacation, and a four-week sabbatical after five years of ...
Uber fosters a culture of innovation and adaptability, continuously expanding its services beyond traditional ride-hailing. The company emphasizes wor...
Uber • San Francisco, USA
Uber is seeking a Graduate 2026 PhD Software Engineer II to develop machine learning models and build innovative consumer-facing products. You'll work with technologies like Python and Hive in San Francisco. This role is ideal for those completing or recently completing a PhD program.
You are currently completing or have recently completed a PhD program in a relevant field, with a strong foundation in machine learning and data science. You possess a passion for building high-impact consumer-facing products and have experience in developing machine learning models and data pipelines. Your coding skills are strong, particularly in Python, and you are comfortable writing clean, maintainable code that adheres to best practices. You thrive in collaborative environments and are eager to work alongside talented engineers, product managers, and data scientists to drive impactful outcomes.
Experience with Hive or similar technologies is a plus, as is familiarity with real-time services and online model serving. You have a keen interest in tackling challenging problems at scale and are excited about shaping core pricing mechanisms within a large marketplace. You are adaptable and open to learning new technologies and methodologies as needed.
In this role, you will design and build innovative products that are used by hundreds of millions of consumers. You will collaborate closely with engineers, product managers, and applied/data scientists to enhance the efficiency of key delivery marketplace pricing levers through the development and optimization of machine learning models. You will also be responsible for building offline data pipelines using Hive or similar technologies, ensuring that data flows seamlessly through the system. Your work will directly impact the consumer journey across Uber's Delivery products, including food delivery and groceries.
You will engage in the full end-to-end flow of product development, from initial concept through to deployment and user experience. This includes writing high-quality code, conducting experiments to validate your models, and iterating based on feedback and performance metrics. You will have the opportunity to tackle complex challenges and contribute to the growth and efficiency of Uber's marketplace.
Uber provides a dynamic work environment where you can make a significant impact on consumer experiences. You will have the chance to work on projects that reach millions of users globally, contributing to the efficiency and reliability of our services. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Additionally, you will have access to professional development opportunities and the chance to collaborate with some of the brightest minds in the industry. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office, fostering a collaborative team culture.
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