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Uber 2021 Summer PhD Backend Software Engineer Intern

Company: Uber
Location: Moss Beach
Posted on: May 5, 2021

Job Description:

*About the Role* --Uber's fulfillment and product intelligence platforms are looking for Ph.D. student interns for summer of 2021. We seek candidates with a background in databases, distributed systems and infrastructure.--You will work closely with members of the group on building or extending tools that improve Uber's fulfillment and experimentation systems. These are systems that are critical for the realtime operation of every trip at Uber.--Most intern projects also have external visibility via open-source, blog posts, publications, or talks.--*About the Fulfillment Team*--Designs, builds, and operates the always-on platform for Uber to ensure that every trip is a magical one from the time you request a ride to the time you complete a ride. The team provides the foundation and business models to enable transportation of people & things from origin to destination.----Work on services that handle a significant % of critical inbound traffic to Uber.--* Design systems and features with resilience in mind. Some top of mind concerns include network, location or device failures.* Handle challenges around consistency and distributed state management at scale across a number of services.* Work with partner teams to model new features and customer experiences into a fulfillment platform with a focus on extensibility and clean design.--Sample projects:* An auto-scaling system for a realtime database layer that saves 10s of millions of dollars a year.* Build an end to end streaming upload solution that powers all media upload across all uber projects.* Develop a ML model & user cohort to analyze uber interaction with Uber based on log analysis.* Build a state machine analysis tool that provides visibility into the fulfillment states in realtime for user debugging at scale.--*About the Product Intelligence Team*--Designs, builds, and operates the experimentation and metrics platform Uber uses to make every product decision at the company. This full stack data team builds mobile SDKs, at scale backends (500k+ QPS), large scale data pipelines and systems (1.5 Petabyte data stores), statistics engines and analytics tools, front-ends, and lambda/kappa streaming architectures that power both human and machine decision making within the company. Work on applied science problems at Uber scale.--Sample projects:--* Build automated backfill tools for lambda, kappa, and kappa+ architectures;* Build query optimizers for efficient computation in Ubers metric registry;* Optimize near-real time streaming pipelines for business critical ML Features and metrics;* Design data science libraries with new statistical techniques for experiment evaluation;* Extend tier-0 at scale services to optimize away tight latency budgets and increase reliability.*What You'll Do** Work with your mentor closely to scope a project, define the problem, and develop and prototype the solution* Develop creative and novel solutions to deep technical problems and implement those solutions* Connect with engineers company-wide to understand the use cases and feasibility of your work, and collaborate on productizing your work* Work as appropriate on open sourcing and publishing your work*Basic Qualifications** Currently enrolled in a Ph.D. program studying distributed systems, database designs and machine learning.*Preferred Qualifications** Passionate about writing clean, efficient, and well-tested code* Ability to communicate effectively with both technical and business stakeholders

Keywords: Uber, San Francisco , Uber 2021 Summer PhD Backend Software Engineer Intern, IT / Software / Systems , Moss Beach, California

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