Uber
Machine Learning Engineer - Rider Pricing
Uber, San Francisco, California, United States, 94199
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 work on 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
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
2+ years of experience in an ML/optimization role, or 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$167,000 per year - USD$185,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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 is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform
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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 work on 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
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
2+ years of experience in an ML/optimization role, or 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$167,000 per year - USD$185,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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 is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform
#J-18808-Ljbffr