Senior Machine Learning Engineer (San Francisco)

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Join to apply for the Senior Machine Learning Engineer role at Uber

About The Role
Uber Marketplace is at the core of Uber's business, and Courier Pricing is a strategically critical engine driving its growth and profitability. The mission of the team is to foster growth and increase profitability of Uber by pushing the frontiers of machine learning, data science, and economics and developing highly reliable and scalable platforms to accelerate Uber's impact on the transportation industry.

About The Role
Uber Marketplace is at the core of Uber's business, and Courier Pricing is a strategically critical engine driving its growth and profitability. The mission of the team is to foster growth and increase profitability of Uber by pushing the frontiers of machine learning, data science, and economics and developing highly reliable and scalable platforms to accelerate Uber's impact on the transportation industry.
We are seeking a Machine Learning Engineer who thrives on solving complex, real-world business problems. In this role, you will own and drive high-impact projects, applying advanced optimization, machine learning, and causal inference to directly optimize pricing across Uber. You'll be instrumental in enhancing our marketplace efficiency and user experience by translating ambiguous challenges into practical, scalable ML solutions, and by developing robust production code to bring these innovations to life.

• What the Candidate Will Do
• Own the entire lifecycle of ML solutions , from understanding ambiguous business challenges to deploying and maintaining high-impact models in production.
• Translate complex business problems into clear ML and optimization formulations , identifying the right features, model structures, and optimization constraints to deliver measurable business impact.
• Innovate and apply advanced ML and optimization techniques to solve real-world problems that directly improve Uber's marketplace efficiency and ensure seamless, high-quality user experiences.
• Productionize modeling solutions into scalable, robust, and reliable systems.
• Collaborate closely with cross-functional and cross-team stakeholders to understand their needs and deliver impactful solutions.
• Basic Qualifications
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field, with 5+ years of full-time engineering experience.
• Proven experience designing, implementing, and owning machine learning models in production environments , with a focus on solving business problems rather than just optimizing theoretical performance.
• Strong understanding of large-scale data and training systems (e.g., Spark, Hive).
• Excellent problem-solving and analytical skills, with a track record of translating vague problems into actionable ML strategies.
• Proficiency in at least one programming language (e.g., C++, Java, Python, or Go).
• Preferred Qualifications
• PhD in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field, with 3+ years of full-time engineering experience.
• Demonstrated experience in taking end-to-end ownership of complex, ambiguous business problems , formulating them into ML and optimization challenges, and delivering significant business impact.
• A strong desire to apply modeling techniques to pragmatic solutions that directly impact users and the business.
  

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 .
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
For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. 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

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Internet Marketplace Platforms

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