Senior Machine Learning Engineer - Marketplace Pricing & Incentives

Collaborates with stakeholders to design, develop, optimize, and productionize machine learning (ML) or ML-based solutions and systems that are used within a team to solve moderately complex problems. This role also leverages and improves ML infrastructure for model development, training, deployment needs and scaling ML systems.

About The Team

The Marketplace Pricing & Incentives team is responsible for Uber’s profitability and growth story. We focus on how to intelligently price a ride trip or a delivery order to make sure Uber can achieve profitability while keeping a steady growth of business. The team is critical in fostering a healthy ride-sharing & delivery ecosystem via a balanced marketplace and in providing a pleasant and sticky experience for Uber’s customers. We seek the best opportunities to grow Uber's business with the state-of-the-art technology (machine learning, constrained optimization, distributed platform, etc.) to achieve industry leading ROI.

Minimum Qualifications

• Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field, WHICH INCLUDES 1-year total technical software engineering experience in one or more of the following areas:
• Programming language (e.g. C, C++, Java, Python, or Go)
• Training using data structures and algorithms
• Machine learning (e.g., tree-based techniques, supervised learning)
• Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib
• Note the 1-year total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The year of specialized experience is not necessarily in addition to the years of Education & full-time work experience indicated.

Required

Technical skills:

• Feature management

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.