Contact: Abhinav Saxena & Weizhong Yan – We’ll be most happy to meet you in person and provide more insights and share our experiences!!Are you looking to make a meaningful impact? To solve real problems, many different skills need to come together. That is why we come together as a team to solve the toughest and most impactful industrial problems. In these roles you will be have an opportunity to –

• Develop and deploy machine learning algorithms/solutions to solve industrial problems at GE
• Determine methodologies needed; apply such methodologies (e.g. Neural Nets, Deep Learning, Active Learning, Random Forest, Bayesian methods, etc.) on monitoring, classification, prognostics, optimization and related research domains.
• Define data needs, evaluate data quality, perform and critique appropriate statistical analyses using software such as Python, MATLAB, R, TensorFlow etc. Explore, determine & develop technical approaches to be used and apply them on major challenges
• Interface closely with GE Business counterparts to understand/define requirements, domain knowledge/models, and data needs
• Effectively communicate technical analyses and results
• Support proposals to respond to internal as well as external funding opportunities
• Publish papers and write patents
• Collaborate with researchers and practitioners around the world both within and outside GE

Following Roles are Currently Available –

1. Machine Learning Researcher (https://jobs.gecareers.com/ShowJob/Id/33983/Machine-Learning-Researcher/)
Technical Qualifications: Doctorate Degree in Computer Science, Mathematics, Applied Statistics, Operations Research, Engineering or related field; Foundation in theories underlying machine learning and artificial intelligence techniques: Ability to apply theoretical or experiential knowledge on machine learning to solve industrial problems; Experience in developing machine learning packages with modern programming languages e.g. Python, R, Scala, Java, MATLAB, C++ etc.

2. Lead Machine Learning Researcher (https://jobs.gecareers.com/ShowJob/Id/33987/Lead-Machine-Learning-Researcher/)
Technical Qualifications: Doctorate Degree in Computer Science, Mathematics, Applied Statistics, Operations Research, Engineering or related field with a minimum of 3 years of experience in applying theoretical or experiential knowledge on machine learning & artificial intelligence to solve real world problems; Foundation in theories underlying machine learning and artificial intelligence techniques; Experience in developing machine learning packages with modern programming languages e.g. Python, R, Scala, Java, MATLAB, C++ etc.

3. Senior Machine Learning Researcher (https://jobs.gecareers.com/ShowJob/Id/33986/Senior-Machine-Learning-Researcher/)
Technical Qualifications: Doctorate Degree in Computer Science, Mathematics, Applied Statistics, Operations Research, Engineering or related field with a minimum of 6 years of experience in applying theoretical or experiential knowledge on machine learning & artificial intelligence to solve real world problems; Foundation in theories underlying machine learning and artificial intelligence techniques; Experience in developing machine learning packages with modern programming languages e.g. Python, R, Scala, Java, MATLAB etc.

4. Knowledge Software Engineer (https://jobs.gecareers.com/ShowJob/Id/63802/Knowledge-Software-Engineer/)
Technical Qualifications: Master’s Degree in Computer Science, Computer/Systems Engineering, Mathematics,Engineering or related field; Experience with W3C Semantics (RDF, OWL, SPARQL), Big Data (e.g. Apache Spark), and/or natural language processing techniques; Hands-on ability to implement, test, and deploy solutions in an industrial context; Programming experience using modern programming languages and frameworks (e.g. Java, Python, Spark, Spring-Boot, etc.)

5. Image Analytics Scientist (https://jobs.gecareers.com/ShowJob/Id/53153/Lead-Scientist-Image-Analytics/)
Technical Qualifications: M.S Degree in Computer Science, Electrical Engineering, Biomedical Engineering, or related fields with a focus on Computer Vision/Medical Image Analysis using Deep Learning; Demonstrated ability to write Python and C++ code for quick demonstration of ideas as well as robust, efficient, scaled-up software systems.; Hands-on ability to create Deep Neural Network models on machine learning platforms such as TensorFlow/Keras https://jobs.gecareers.com/ShowJob/Id/53154/Image-Analytics-Scientist/
Lead Scientist – Image Analytics Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, or related fields with a focus on Computer Vision/Medical Image Analysis with a minimum of 2 years of industrial experience; Demonstrated ability to write Python and C++ code for quick demonstration of ideas as well as robust, efficient, scaled-up software systems.; Hands-on ability to create Deep Neural Network models on machine learning platforms such as Tensor Flow/Keras

6. Senior Scientist – Image Analytics (https://jobs.gecareers.com/ShowJob/Id/53155/Senior-Scientist-Image-Analytics/)
Technical Qualifications: Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, or related fields with a focus on Computer Vision/Medical Image Analysis.; Minimum of 7 years of industrial experience; Hands-on experience in Computer Vision or 3D Medical Image Analysis in relevant fields such as Robotics or Autonomous systems.; Demonstrated ability to write Python and C++ code for quick demonstration of ideas as well as robust, efficient, scaled-up software systems.; Hands-on ability to create Deep Neural Network models on machine learning platforms such as Tensor Flow/Keras