Postmates Jobs in California
Job posting data last updated March 13, 2026.
Software Engineer II
Staff Software Engineer - Fulfillment Logistics
Staff Software Engineer - ML Michelangelo
Sr Staff Software Engineer, Consumer Pricing and Incentives
Sr Staff Engineer - AV Labs - Sensor Recording
Software Engineer II - Machine Learning
Senior Staff Engineer
Staff Software Engineer
Sr Software Engineer - Backend, Grocery & Retail
Software Engineer II- Backend, Marketplace/Maps/Membership/AV
Software Engineer II- Backend, Marketplace/Maps/Membership/AV
Senior Machine Learning Engineer Ranking & Recommendations (Generative AI)
Software Engineer II- Grocery & Retail
Sr Software Engineer - Machine Learning, Marketplace/Maps/Membership/AV
Sr Software Engineer - Machine Learning, Marketplace/Maps/Membership/AV
Machine Learning Engineer Ranking & Recommendations
Software Engineer II - Machine Learning, Marketplace/Maps/Membership/AV
Sr Software Engineer - Backend, Marketplace/Maps/Membership/AV
Staff Engineer - Home Feed Foundations
Staff Software engineer - Authentication and Security Observability
About The Role
Uber AI's mission is to optimize and advance Uber's products and operations through cutting-edge machine learning and AI technologies. The organization comprises several teams, including the Machine Learning Platform team, which enables scalable ML across Uber.
We provide foundational components to empower product teams in creating innovative and personalized user experiences. The broader group brings together machine learning engineers, backend and mobile engineers working collaboratively to solve high-impact business challenges.
What The Candidate Will Do
Design and develop software and tools (pipeline build infrastructure) that power a state-of-the-art machine learning platform
Lead system architecture design efforts, including the integration and management of upstream and downstream dependencies
Drive operational efficiency through automation in areas such as capacity planning, configuration management, performance optimization, monitoring, and root cause analysis
Participate in on-call rotations and provide timely support for critical production issues
Basic Qualifications
- Minimum of 4 years of experience in systems software engineering, with a strong foundation in computer architecture and core computer science principles
- Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent practical experience
Proficiency in at least one of the following programming languages: Java, Go, Python, or C/C
•
Preferred Qualifications
Hands-on experience using machine learning frameworks in production environments
For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of compensation.
You will also be eligible for various benefits. More details can be found at the following link.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please let us know by completing this form.
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.
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