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.