Staff Scientist, Rider Personalization
$216kSupportFinity™
About The Role The Rider team is the centerpiece of the Uber consumer experience, owning the core flagship app used by over 100M+ monthly active users. The Personalization team is looking for a Staff Scientist to innovate on our AIML efforts and tackle the next frontier of challenges in ranking & recommender systems. As a Scientist, you will leverage your machine learning expertise to transform our homescreen feed, help grow the cross-platform business, and ultimately improve user satisfaction through one of Uber's most impactful channels. What You Will Do Play a tech lead role in framing cross-line-of-business optimizations and architecting novel ML solutions Prototype these solutions using Uber's internal ML model development tools Influence and align engineering & product on the AIML roadmap for homescreen ranking Help identify system-wide improvements to Uber Rider ranking and recommendations, including adoption of the latest technologies in ranking and recsys Basic Qualifications Strong background in designing ML systems for ranking and recommendation Ability to set up multi-objective optimizations that trade off the needs of different lines of businesses Comfortable with high degrees of complexity and ambiguity Deep experience in large-scale consumer tech Preferred Qualifications Knowledge of latest innovations in ranking and recsys including transformer architecture Understanding of consumer platform businesses Compensation & Benefits Salary ranges for U.S. locations (New York, NY; San Francisco, CA; Seattle, WA; Sunnyvale, CA) are USD$216,000 per year – USD$240,000 per year. All full-time employees are eligible to participate in Uber's bonus program, equity awards, a 401(k) plan, and various benefits. For more details, see #J-18808-Ljbffr SupportFinity™
Vacancy posted 4 days ago
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