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Data Scientists and Machine Learning Researchers


Work with a world-class multidisciplinary team to develop and deploy scalable predictive, reasoning and data mining algorithms and software for diverse industrial applications, including anomaly detection, diagnostics & prognostics on sensor, video, imagery and text data.



GE SoftwareCompany: GE Software
Location: San Ramon, CA
Web: www.ge.com/research

GE Software is looking for 10+ outstanding Data Scientists & machine-learning researchers to work with a world-class multidisciplinary team to develop and deploy scalable predictive, reasoning and data mining algorithms and software for diverse industrial applications, including anomaly detection, diagnostics & prognostics on sensor, video, imagery and text data from Jet engines, Gas Turbines, Locomotives, Healthcare Machines and much more.

As part of our Data Science / Machine Learning Lab in San Ramon, CA, you will collaborate with senior researchers in Niskayuna NY, and Bangalore, India. You will provide technical expertise to address supervised and unsupervised learning problems in an applied research environment.

We will depend on you to develop & deploy modern Data Science / machine learning and statistical methods (CART and Random Forests, clustering and classification algorithms, Bayesian models, neural nets, SVM etc.) for finding patterns/models from industrial data. Familiarity with large data sets, cloud based development and deployment, open source practices and frameworks and experience in putting an intelligent application in production is desirable.

Contact: You must submit your application for employment on the careers page at the links below to be considered. jobs.gecareers.com/

Staff Data Scientist (Experienced data science expert), Big Data REQ 1791792

Lead Data Scientist (Big Data) REQ 1721777

Lead Machine Learning Scientist , REQ 1794663

Machine Learning Researcher , REQ 1652390 (At least 3 years of experience post Doctorate Degree OR at least 7 years of experience post Master's Degree)

For any questions or to discuss more, please contact Tom Chavez, chavez@ge.com

Equal Opportunity Employer


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