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About The Role
Uber is looking for a Software Engineer to join our Incentive Platform team. This team works at the core of Uber's marketplace, ensuring that drivers and couriers are incentivized to stay engaged on the platform.
Generating and delivering the right incentives is one of Uber's most complex engineering challenges, requiring a sophisticated orchestration between dynamic marketplace signals and a seamless driver experience.
The platform requires expertise in high-scale distributed processing, micro-services, and machine learning infrastructure. As an Engineer on the team, you'll play a key role in evolving our systems, driving efficiency, and pioneering Uber's next-generation ML-powered incentive ecosystem. This is a rare opportunity to own a business-critical domain with massive global impact."
Some Of The Problems You'll Be Working On Include
Scaling a Global Incentive Engine: Design and develop a high-throughput platform that powers millions of incentives across thousands of cities in real-time.
Extensible Architecture: Build modular, extensible systems that allow our incentive mechanisms to evolve.
ML-Integrated Backends: Build the infrastructure that makes our algorithms effective. You'll create robust workflows for ML inference and optimization, directly influencing how incentives are generated and delivered at Uber scale.
What You Will Do
Uber is looking for a Software Engineer to join our Incentive Platform team. This team works at the core of Uber's marketplace, ensuring that drivers and couriers are incentivized to stay engaged on the platform.
Generating and delivering the right incentives is one of Uber's most complex engineering challenges, requiring a sophisticated orchestration between dynamic marketplace signals and a seamless driver experience.
The platform requires expertise in high-scale distributed processing, micro-services, and machine learning infrastructure. As an Engineer on the team, you'll play a key role in evolving our systems, driving efficiency, and pioneering Uber's next-generation ML-powered incentive ecosystem. This is a rare opportunity to own a business-critical domain with massive global impact."
Some Of The Problems You'll Be Working On Include
Scaling a Global Incentive Engine: Design and develop a high-throughput platform that powers millions of incentives across thousands of cities in real-time.
Extensible Architecture: Build modular, extensible systems that allow our incentive mechanisms to evolve.
ML-Integrated Backends: Build the infrastructure that makes our algorithms effective. You'll create robust workflows for ML inference and optimization, directly influencing how incentives are generated and delivered at Uber scale.
What You Will Do
- As a backend engineer, you will architect, design and build software solutions to help with all aspects of capacity planning/management/engineering to scale Uber's infrastructure across a variety of sophisticated workflows and business processes.
- Design end-to-end features and systems to build high quality consumer-facing products.
- Write code, test, and maintain production services for high availability, reliability, and performance.
- Work with ML engineers and scientists to develop ML models to improve product performance.
- Work with Product Managers to understand product requirements and lead product rollout plans.
- Mentor junior team members.
- You will collaborate with other teammates to maintain the health of our systems and codebase, refactor and make improvements, and keep our systems robust and resilient.
- 2+ 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 coding using general purpose programming language (eg. C/C++, Java, Python, Go, C#)
- Fast and passionate learner. Strong collaboration, documentation and communication skills.
- Experience building consumer-facing products.
- Experience designing and implementing large-scale service with excellent quality.
- Experience working with Machine Learning engineers and scientists on ML model deployment.
- Experience collaborating with other engineers and non-tech stakeholders, both to meet short-term goals and to create long-term partnerships
Key Skills
Ranked by relevance
machine learning
san
high availability
python
java
c
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- Posted
- May 07, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- San Francisco
- Company
- Uber
Industries
Internet Marketplace Platforms
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Junior Data Scientist
2026-05-26
Full-time
Not Applicable
Poland
Internet Marketplace Platforms
Engineering
View Job Details
Related
Backend Engineer (m/f/d)
2026-05-25
Full-time
Mid-Senior
Spain
Internet Marketplace Platforms
Engineering
View Job Details
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AI Software Engineer (m/f/d) - Berlin
2026-05-21
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