Uber Data Storage team leverages various technologies hosting EB level of data to serve data analytics, ML, backup and other needs. In the era of AI, teams are working on many technically challenging problems to specifically serve our AI/ML customers performantly and efficiently.
Requirements
- Currently enrolled in a Ph.D. program studying distributed systems, machine learning or a related engineering field
- Knowledge of underlying technical foundations of distributed systems, machine learning workflows etc.
- Experience in one or more object-oriented languages, including C++, Java, Python, or Go.
- Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation.
- Experience with handling multimodality data in the industry
Responsibilities
- Drive exciting, ambitious, previously unsolved projects from end to end.
- Work on an exciting yet bold problem in depth and independently, under the supervision of an experienced engineer on that team.
- Manage both structured and non structured data (especially multimodality data) for customers.
- Work on many technically challenging problems to specifically serve our AI/ML customers performantly and efficiently.
- Make data driven decisions, with exceptional execution.
- Be motivated to own projects and push them forward with independence.
Other
- Currently enrolled in a Ph.D. program
- Candidates must have at least one semester/quarter of their education left following the internship.
- Ability to communicate effectively with both technical and business partners.
- Experience in simplifying/converting business problems into technical problems.
- Experience presenting at industry recognized academic conferences and a good publishing record.
