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Data Scientist

Company Name: Uber Technologies
Location: Pittsburgh, PA
Date Posted: 20th Sep, 2016
Description:
  • Fast learner. We’re looking for team members who thrive on applying their knowledge, learning new technologies and don’t believe in one-size-fits-all solutions. You should be able to adapt easily to meet the rapid pace of a rapidly evolving research, development, and testing environment.
  • Fearlessness. You think a working proof-of-concept is the best way to make a point. You strive on proving that speed and quality are not conflicting; that you can achieve both at the same time.
  • Versatility. In addition to having an intimate knowledge of core engineering fields, you understand how all the pieces fit together into integrated systems, and how they impact performance.
  • Passion. You feel ownership over everything you ship; you'd never call code or design "released" until you’re confident it’s correct. You pride yourself on efficient monitoring, strong documentation, and proper test coverage.
  • A team player. You believe that you can achieve more on a team — that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement.
  • Design and business acumen. You understand requirements beyond the written word and how your technical contributions will influence the viability of future products. Whether you’re working on a software library used by other developers, a sensor to be retrofitted on a test vehicle, or a printed circuit to be mass produced, the other members of the team can depend on the quality of your work to rapidly advance our goals.
Qualification:

Machine learning areas of special interest include:

  • Active learning and Bayesian optimization
  • Anomaly detection
  • Deep networks
  • Distributed/parallel learning algorithms
  • Image/video classification
  • Learning control
  • Predictive modeling.

Additional requirements for this position include:

  • A degree in a machine learning related discipline -- positions are available at the PhD, MS, and BS levels
  • A strong quantitative background
  • Excellent software development skills in one or more of C, C++, Java, Python, Matlab
  • Knowledge of machine learning commensurate with education/experience level
  • Excellent presentation and communication skills.Machine learning areas of special interest include:
  • Active learning and Bayesian optimization
  • Anomaly detection
  • Deep networks
  • Distributed/parallel learning algorithms
  • Image/video classification
  • Learning control
  • Predictive modeling.
  • Additional requirements for this position include:
  • A degree in a machine learning related discipline -- positions are available at the PhD, MS, and BS levels
  • A strong quantitative background
  • Excellent software development skills in one or more of C, C++, Java, Python, Matlab
  • Knowledge of machine learning commensurate with education/experience level
  • Excellent presentation and communication skills.