Senior Machine Learning Engineer

About the Role

Uber Marketplace ( https://marketplace.uber.com/) is at the core of Uber's business, and Rider Pricing & Incentives is a strategically critical component of Marketplace. The mission of the team is to foster growth and improve efficiency of the marketplace through pricing and promotion optimizations.

We work on some of the most challenging marketplace problems that impact Uber's top-line and bottom-line directly and significantly. We build online and offline systems, leveraging tools from machine learning, optimization, and causal inference. We work in a fast-paced and collaborative environment.

What You Will Do:

You will lead both ML and optimization projects to push the frontier of rider pricing/promotion efficiency and optimize the interactions with other marketplace components.

• You will end-to-end design and implement ML models and optimization algorithms that convert ambiguous problems into concrete solutions
• You will drive end-to-end project executions from scoping, offline evaluation, conducting experiments, influencing launch decisions, productionization, and post-launch monitoring
• You will collaborate with cross-functional partners including product managers and scientists

Basic Qualifications:

• 5+ years of experience in an ML/optimization role, or 3+ years of experience with a PhD in relevant fields (CS, OR, EE, Stats, etc.)
• Expertise in machine learning and optimization algorithms
• Experience with ML frameworks
• Experience with productionizing ML systems
• Proficiency in at least one coding languages such as Python, Go, Java and etc
• Strong communication skills and can work effectively work cross-functional partners
• Strong sense of ownership to drive projects end-to-end

Preferred Qualifications:

• Experience in formulating and solving optimization problems
• Experience in evaluating ML models and overall system in a production environment
• Experience in designing data collection policy for ML models and policy evaluation
• Experience in causal inference and experimental design
• Experience in landing production changes into complex codebases and systems
• Basic understanding of Economics concepts

For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber 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.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.