Staff Software Engineer, Backend - ML Platform

What the Candidate Will Need:

• Extensive Systems Engineering Experience: 7+ years of experience in systems software engineering, with a strong understanding of computer architecture and core computer science fundamentals.
• Programming Proficiency: Expertise in one or more of the following programming languages: Java, Go, Python.
• Educational Background: A Bachelor's degree (or higher) in Computer Science or a related field, or equivalent practical experience.
• Project Leadership: Proven track record of leading and successfully delivering complex projects.
• Problem-Solving Skills: Strong problem-solving approach, with deep knowledge of algorithms, data structures, and complexity analysis.
• Adaptability: Ability to work effectively in an ambiguous and constantly evolving environment.

Bonus Points:

• Experience with ML Platforms: Prior experience working on machine learning platforms or ML products.
• ML/AI/LLM Expertise: Skills in machine learning, artificial intelligence, or large language models (LLMs).
• High-Load Distributed Systems: Experience working on high-load distributed systems.
• Data Pipeline Experience: Experience working on data pipelines using technologies like Spark or similar tech stacks.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.