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.

Some Of The Problems You'll Be Working On Include

• Building a highly scalable ml systems - 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.

What the Candidate Will Do:

• 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

Basic Qualifications:

• 5+ years 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 general purpose programming language (eg. C/C++, Java, Python, Go, C#)
• Fast and passionate learner. Strong collaboration, documentation and communication skills.

Preferred Qualifications:

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

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits., For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.