Machine Learning Engineer - Marketplace Earner Pricing

| South Bay
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About The Role
The Driver Movement and Driver Surge teams, within the broader Marketplace group, ensures all Uber Drivers have clear and relevant information about pricing, earnings, and where to drive based on the demand of the Marketplace -- all in real-time. This ensures reliability when there are more riders as well as giving drivers the most up to date information on where to position themselves to maximize earnings.
On the product side, the team owns multiple real-time positioning and pricing products that are front and center for Drivers in the mobile application. These products are responsible for billions of dollars in trips and generating billings for Uber by ensuring drivers are in the right place at the right time to balance marketplace needs. In terms of technology, the products have global coverage and are used to service every driver on the platform at any minute of the day. The team's portfolio of positioning & pricing products maximizes a rich source of real-time data and ML to build intent, movement and pricing models that are used for each driver session.
Join and grow a diverse team spanning a range of critical skills including distributed systems, real-time modeling and algorithm design, personalization, online models, mobile development, and rapid product development that drivers rely on for earnings!
What You'll Do
• You will design, code, test, and launch new optimization models and ML-based product features at global scale.• You will build and deliver these cutting edge features through sophisticated experiments, collaborating with Data Science, Design, and Product teams, that help simplify the lives of our diverse customer base.
Basic Qualifications
• BS, MS, or PhD in Computer Science, Math or a related technical field, or equivalent experience.• 2+ years of experience in software engineering focusing on large-scale systems, prediction and/or optimization problems.• Sound understanding of computer architecture and CS fundamentals.• Proficient in one of the following programming languages: Java, Go, Python, C/C++.
Preferred Qualifications
• Detailed problem-solving approach and knowledge of algorithms, data structures, and complexity analysis.• Experience working on large-scale distributed systems and end to end scaling of data pipelines and service reliability• Experience working on large scale machine learning platforms and end to end productionization of models• Grit, drive and a strong feeling of ownership coupled with collaboration.
About the Team
Uber's Marketplace Engineering team creates the technology behind our ridesharing marketplace by connecting riders with drivers at the push of a button. Our solutions expand user access, deliver reliability, and provide more transportation choices to users across our global markets.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have a curiosity, passion and collaborative spirit, work with us, and let's move the world forward, together!
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.

More Information on Uber
Uber operates in the 3PL: Third Party Logistics industry. The company is located in San Francisco, CA, New York City, NY, Chicago, IL and Seattle, WA. Uber was founded in 2009. It has 21000 total employees. It offers perks and benefits such as Volunteer in local community, Partners with nonprofits, Friends outside of work, Eat lunch together, Intracompany committees and OKR operational model. To see all 65 open jobs at Uber, click here.
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