Sr Machine Learning Engineer

Uber; New York (NY); Presencial; USD 202.000 - 224.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Bonus program

Equity award

401(k) plan

Benefits

Descripción de la vacante

Uber is seeking a senior ML Engineer for Rider Pricing to own pricing ML and optimization, driving improvements across pricing algorithms and promotion targeting. You will mentor teammates and collaborate with ML, serving, and product teams to align roadmaps and deliver measurable revenue growth.

The role requires advanced ML and optimization experience and a strong software foundation in scalable systems, with the opportunity to impact pricing at a global scale.

Formación

• Master's degree in a relevant field with 5+ years of full-time engineering experience
• Proficiency in one or more programming languages (e.g., C, C++, Java, Python, Go)
• Experience with machine learning and optimization algorithms

Responsabilidades

• Take a lead on pricing ML and optimization problems, developing techniques powering billions of rides
• Improve performance of models and algorithms powering pricing and promotion targeting
• Own the problem end-to-end with cross-functional product/tech roadmap
• Mentor junior team members by modeling ML best practices
• Collaborate with cross-functional teams to drive ridership and revenue growth
• Help end-users by making mobility options accessible and affordable

Conocimientos

C/C++

Python

Java

Go

ML/Optimization

Educación

Master's degree in CS/Engineering/Math

PhD preferred

Herramientas

Spark

Hive

Descripción del empleo

About the Role

the company Marketplace is at the heart of the company's business, with Rider Pricing playing a critical role by setting prices and targeting promotions for the company riders. Our team's mission is to drive revenue growth, ridership growth and the company'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 the company's mobility business revenue. You'll take ownership of one key pillar of the rider pricing domain and lead the technical direction for improving our pricing algorithms, optimization algorithms and models. You will work across ML, serving, and optimization system components, and set technical direction for modeling best practices across model building, evaluation and deployment.

In this role, you'll apply advanced machine learning technologies, including deep learning, generative AI for causal modeling, representation learning and personalization, to optimize the company'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 the company's top-line rider and revenue growth.

What You'll Do

• Take a lead on pricing ML and optimization problems, by developing and implementing new machine learning and optimization techniques powering billions of rides around the world, and helping riders achieve their mobility needs.
• Improve the performance of models and algorithms powering pricing algorithms and promotion targeting.
• Own the problem E2E, including working with cross-functional teams to define the product and/or technical roadmap.
• Mentor more junior team members by role modeling ML best practices.
• Collaborate with cross-functional teams to ensure alignment and drive the company's ridership and revenue growth.
• Help the company's end-users by making mobility options accessible and affordable.

Basic Qualifications

• Masters degree in Computer Science, Engineering, Mathematics, or a related field, with 5+ years of full-time engineering experience.
• Proficiency in one or more programming languages (e.g., C, C++, Java, Python, Go).
• Experience with machine learning and optimization algorithms.

Preferred Qualifications

• PhD in Computer Science, Engineering, Mathematics, or a related field, with 2+ years of full-time engineering experience.
• Experience solving complex business problems by translating them into machine learning and optimization solutions.
• Familiarity with large-scale data systems (e.g., Spark, Hive) and experience building production-ready algorithmic systems.
• Strong background in deep learning, generative AI, causal modeling, and reinforcement learning.

For New York City, NY-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

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 Sunnyvale, CA-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 the company'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.

Ready to Ride?

This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and the company's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

The company is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.