Software Engineer II - Engineer
Role Overview
Uber Marketplace is at the heart of Uber’s business, with Rider Pricing playing a critical role by setting prices and targeting promotions for Uber riders. Our team’s mission is to drive revenue growth, ridership growth and Uber’s profitability through advanced machine learning and data science. We build reliable, scalable platforms that optimize rider pricing in both real-time and offline systems, including baseline trip pricing and targeted discounts.
The Rider Pricing team is a fast-moving, high-opportunity space where you’ll have the chance to make a significant impact on the business. On this team, your work will affect over 95% of Uber’s mobility business revenue. You’ll work on the rider pricing optimization algorithms and systems, to build better pricing algorithms, optimization algorithms and models.
In this role, you'll apply advanced machine learning technologies, including deep learning, generative AI for causal modeling, representation learning and personalization, to optimize Uber’s pricing. You will also work with serving infrastructure and product teams to design and evolve the rider pricing systems to support new product and algorithm evolutions and drive Uber’s top-line rider and revenue growth.
Key Skills for This Role
Full Job Posting
About the Role
Uber Marketplace is at the heart of Uber’s business, with Rider Pricing playing a critical role by setting prices and targeting promotions for Uber riders. Our team’s mission is to drive revenue growth, ridership growth and Uber’s profitability through advanced machine learning and data science. We build reliable, scalable platforms that optimize rider pricing in both real-time and offline systems, including baseline trip pricing and targeted discounts.
The Rider Pricing team is a fast-moving, high-opportunity space where you’ll have the chance to make a significant impact on the business. On this team, your work will affect over 95% of Uber’s mobility business revenue. You’ll work on the rider pricing optimization algorithms and systems, to build better pricing algorithms, optimization algorithms and models.
In this role, you'll apply advanced machine learning technologies, including deep learning, generative AI for causal modeling, representation learning and personalization, to optimize Uber’s pricing. You will also work with serving infrastructure and product teams to design and evolve the rider pricing systems to support new product and algorithm evolutions and drive Uber’s top-line rider and revenue growth.
What You’ll Do
Develop and implement machine learning and optimization solutions to solve critical business challenges, including rider pricing, discounts, promotion targeting, and personalized messaging.
Build and scale models and systems for real-time and offline promotions, as well as rider pricing.
Collaborate with cross-functional teams to ensure alignment and drive measurable business outcomes.
Work on and have the opportunity to set technical directions for key ML, serving, and optimization system components that directly impact Uber’s growth.
Basic Qualifications
- Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 3+ years of full-time engineering experience.
- 2+ years of ML experience and building ML models
- Experience working with multiple multi-functional teams(product, science, product ops etc).
- Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).
- Experience with big-data architecture, ETL frameworks and platforms.
- Solid understanding of latest ML technologies, and libraries.
- Proven track records of being a fast learner and go-getter, with willingness to get out of the comfort zone.
Preferred Qualifications
- Experience with the design and architecture of ML systems and workflows.
- Experience with building algorithmic solutions in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments.
- Experience with taking on vague business problems, translating them into ML + Optimization formulation, identifying the right features, model structure and optimization constraints, and delivering business impact.
- Experience with optimizing Spark queries for better CPU and memory efficiency.
- Experience owning and delivering a technically challenging, multi-quarter project end to end
Responsibilities
- For New York City, NY-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.
- For San Francisco, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.
- For Sunnyvale, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 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.
- Develop and implement machine learning and optimization solutions to solve critical business challenges, including rider pricing, discounts, promotion targeting, and personalized messaging.
- Build and scale models and systems for real-time and offline promotions, as well as rider pricing.
- Collaborate with cross-functional teams to ensure alignment and drive measurable business outcomes.
- Work on and have the opportunity to set technical directions for key ML, serving, and optimization system components that directly impact Uber’s growth.
About Uber
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Uber
Manager, Planning and Compensation, Advertising
New York City, USA
Senior Associate, Commercial Operations, US&C
New York City, USA
Director, Product Management (Ads UI)
San Francisco, USA
About the role and team Uber Ads seeks an experienced Product Management leader to own ad placements and formats (“Ads UI”) across Uber’s consumer purchase journey, including sponsored listings, offer formats, brand take
Enterprise Account Executive (Franchise), Uber Advertising
Sydney, AUS
Uber is looking for an enterprise advertising account owner to grow high-value franchise partnerships across APAC. The role combines relationship management, advertising product adoption, data-led growth recommendations,
Customer Success Manager
Sydney, AUS
Uber Direct is seeking a Customer Success Manager to own restaurant accounts across Australia and New Zealand, overseeing launches, operational performance, product adoption, and growth. Applicants need 5+ years in a rel
Manager, Planning and Compensation, Advertising
New York City, USA
Senior Associate, Commercial Operations, US&C
New York City, USA
Director, Product Management (Ads UI)
San Francisco, USA
Director, Product Management (Ads UI)
San Francisco, USA
Enterprise Account Executive (Franchise), Uber Advertising
Sydney, AUS
Customer Success Manager
Sydney, AUS
Sr Software Engineer - Engineer
Sunnyvale, USA
Sr Software Engineer
New York City, USA