Staff Software Engineer, Backend - Uber AI Solutions
About the Role
At Uber, our mission is to be the platform of choice for flexible earning opportunities. We are expanding this vision through Uber AI Solutions (UAIS), a fast-growing team operating like a startup within Uber.
We are building foundational model data infrastructure for the next generation of AI systems, where human intelligence and machine learning models work together to produce Model Ready Datasets.
We are seeking a Staff Engineer to provide technical direction and lead platform architecture for Uber AI Solutions, a fast-growing, startup-like organization within Uber. In this role, you will own and drive the design of foundational data infrastructure that enables frontier AI systems to transition from research to production with speed, rigor, and reliability. You will build scalable platforms that integrate expert human input with machine learning to produce high-quality, model-ready datasets for multimodal and real-world AI use cases.
\-\-\-\- What the Candidate Will Do ----
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1\. Architect and evolve core systems that span multiple teams, ensuring scalability, performance, and long-term maintainability of critical platform services.
2\. Provide technical leadership across teams, driving alignment on design patterns, service interfaces, and shared infrastructure investments.
3\. Mentor and develop senior engineers, elevating technical depth, decision-making, and design rigor across the broader group.
4\. Champion the adoption of AI-assisted development tools and modern engineering practices to improve code quality, reliability, and delivery speed across teams.
5\. Influence hiring and talent development, helping shape team composition and maintaining a high engineering bar across multiple teams.
\-\-\-\- Basic Qualifications ----
1\. Bachelor's (or Master's) degree in Computer Science, Engineering or related discipline (or equivalent experience).
2\. 8+ years of professional software engineering experience, with substantial experience designing, building, and operating large-scale systems across multiple teams.
3\. Expert in at least one major backend or infrastructure technology (languages, frameworks, distributed systems, data pipelines) and comfortable influencing architecture across teams.
4\. Strong record of mentoring and developing engineers, setting technical standards, and driving impact beyond a single team.
5\. Excellent communication and collaboration skills; able to engage with multiple teams, stakeholders, and articulate vision and trade-offs.
6\. Experience participating in hiring and helping build out engineering teams or capability.
\-\-\-\- Preferred Qualifications ----
1\. Deep understanding of ML Ops ecosystems, model lifecycle management, and large-scale data processing frameworks (e.g., Kubeflow, Airflow, Ray, Spark).
2\. Proven experience architecting systems for data labeling, translation, or human-in-the-loop workflows supporting high-volume ML applications.
3\. Strong familiarity with GenAI and LLM infrastructure-model hosting, fine-tuning, evaluation, and integration into production services.
4\. Experience mentoring engineers and leading technical initiatives applying AI/ML to complex business or operational domains (e.g., logistics, physical AI, robotics).
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 fuelds progress. What moves us, moves the world - let's move it 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.
Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- FSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
Parental Benefits
- Fertility Benefits
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Pet-friendly Office
- Snacks
- Some Meals Provided
- On-Site Cafeteria
Vacation and Time Off
- Paid Vacation
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Sabbatical
- Volunteer Time Off
Financial and Retirement
- 401(K)
- Company Equity
- Performance Bonus
Professional Development
- Work Visa Sponsorship
- Associate or Rotational Training Program
- Promote From Within
- Mentor Program
- Access to Online Courses
Diversity and Inclusion
- Employee Resource Groups (ERG)
- Diversity, Equity, and Inclusion Program