Research Scientist - Machine Learning (Master's Level)

General Electric - GE
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Job Description

GE’s Machine Learning researchers work on the advancement of new Artificial Intelligence and Machine Learning technology for industrial and healthcare domains, ultimately looking to contribute to the Future of Flight, Energy Transition, and Precision Healthcare. Here is a quick glimpse into Digital Research at GE today:

As a Research Scientist, you will design, experiment, analyze, improve, and apply new Machine Learning technology. Along the way, you will investigate concepts from their fundamentals (theoretical and empirical) to their prototype and creation as new solutions that change the world. You will develop algorithms and systems for various industrial domains including renewable energy, power generation, smart grids, aviation, medical imaging, robotics, and manufacturing. This will involve working on projects with GE business units and a wide array of fellow researchers across disciplines and domains. It will also include the opportunity to work on government-sponsored, cutting-edge research programs with GE’s external partners in academia and government. You will help drive the future of Machine Learning research at GE and advance human scientific understanding among the broader global community.

Job Description

Essential Responsibilities:

  • Work with teams of researchers on new and continuing projects
  • Develop software solutions for the application of Machine Learning to medical and industrial data
  • Implement and analyze prototypes and solutions for real-world problems
  • Employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions
  • Create intellectual property by writing invention disclosures and filing patents


  • MS in Computer Science, Electrical Engineering, Mathematics, Physics, or related fields with a focus on Machine Learning and/or Artificial Intelligence
  • Demonstrated ability to write Python code
  • Candidate must be willing to travel a minimum of 2 weeks per year 
  • Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
  • Must be willing to work out of an office located in Niskayuna, NY
  • Must be 18 years or older
  • You must submit your application for employment on the careers page at gecareers.comto be considered

Desired Characteristics:

  • Master's degree focusing on new advancements in Machine Learning
  • Experience in writing grant proposals and participating in the execution of grant-supported research; includes demonstrated successful communication with government agencies such as DoE, ARPA-E, DoD, DARPA, and the National Institutes of Health
  • Ability to obtain Secret (or higher) US Government clearance
  • Deep expertise in one or more of: Machine Learning + Physics, Explainable Machine Learning, Graph Neural Networks, Causal Inference
  • Contribution to public domain codebases and/or significant GitHub portfolio to demonstrate mastery and impact

Additional Eligibility Requirements:

  • Because of the specific categories of data handled by GE Research and the structure of our work environment, we are unable to accommodate employment of persons while they are considered nationals of embargoed countries subject to restriction under the US Export Administration Regulations (EAR), 15 CFR Section 746 et seq. (currently North Korea, Syria, Iran, Cuba, and Sudan).
  • Please note that citizens of embargoed countries who have either U.S. person” status under U.S. export control laws or subsequent citizenship from a non-embargoed country can be considered.

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Company Info.

General Electric - GE

General Electric Company is an American multinational conglomerate incorporated in New York City and headquartered in Boston. As of 2018, the company operates through the following segments: aviation, healthcare, power, renewable energy, digital industry, additive manufacturing and venture capital and finance.

  • Industry
    Manufacturing,Power Supply,Aviation,Healthcare
  • No. of Employees
  • Location
    Boston, Massachusetts, USA
  • Website
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