Sr Software Engineer - Matching ML Platform

About The Role

Uber is looking for a Software Engineer to join our Matching ML Platform team. This team sits at the core of Uber's real‑time marketplace, ensuring that riders and drivers are matched efficiently, fairly, and at scale.

Matching is one of Uber's most complex and impactful engineering problems, requiring expertise in high‑scale distributed systems, real‑time decision‑making, and machine‑learning infrastructure. As a Senior Engineer, you'll play a key role in evolving our matching architecture, improving system efficiency, and enabling Uber's next‑generation ML‑powered matching capabilities. This is an opportunity to work on one of Uber's most business‑critical domains with massive global impact.

• Building a highly scalable ML system – handling millions of ride requests per second with ultra‑low latency.
• Evolving the ML platform for matching – enabling real‑time inference, model deployment, and experimentation at scale.
• Designing extensible architectures – creating a modular and flexible platform that allows new product innovations without complex rewrites.

• Build and scale a low‑latency platform powering millions of real‑time match decisions per second.
• Identify opportunities to improve various ML system's performance and health.
• Design modular systems that accelerate product innovation without rework.
• Optimize for fairness, efficiency, and marketplace health at global scale.
• Collaborate across product, infra, and ML teams to deliver business‑critical impact.

• 5+ years of experience working on the full software life cycle, including gathering requirements, project planning, solution design, coding/implementation, testing, rollout/deployment, and best practices as an individual contributor.
• Experience with ML in production systems.
• Experience coding using a general‑purpose programming language (e.g., C/C++, Java, Python, Go, C#).
• Fast and passionate learner with strong collaboration, documentation, and communication skills.

• 3+ years of technical software engineering experience in one or more of the following areas.
• Experience building ML models and ML infrastructure to support those models.
• Experience with distributed systems or microservice architectures.
• Experience with relational databases and distributed storage systems (MySQL, Cassandra).
• Experience shipping efficient, reliable, crash‑free code that reaches millions of users.

For San Francisco, CA;
Seattle, WA; and Sunnyvale, CA based roles: base salary range USD $202,000 – USD $224,000 per year. All full‑time employees are eligible to participate in a 401(k) plan, Uber's bonus program, and may be offered an equity award and other types of compensation. You will also be eligible for various benefits. More details can be found at