General Electric Lead Scientist - Machine Learning in Niskayuna, New York
Job Description Summary
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 Lead 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 contributing to and leading new 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.
Work with and lead 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
Collaborate with GE’s other Machine Learning experts to define and pursue strategic advancement of new Machine Learning technologies
Publish novel findings in scientific workshops, conferences, and journals
Create intellectual property by writing invention disclosures and filing patents
MS + 5 years experience or PhD + 2 years experience in Computer Science, Electrical Engineering, Mathematics, Physics, or related fields with a focus on Machine Learning and/or Artificial Intelligence
Minimum of 2 years of industrial or healthcare experience
Demonstrated ability to write Python code for quick demonstration of ideas as well as robust, efficient, scaled-up software systems
Candidate must be willing to travel a minimum of 2 weeks per year
Legal authorization to work in the U.S. is required
Legal authorization to work in the U.S. is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills.
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 www.gecareers.com to be considered
Ph.D. 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
Post-doctoral or industrial experience inventing and developing new Machine Learning technologies
Extensive publications in peer-reviewed journals and conferences in Machine Learning, Artificial Intelligence, and relevant application fields
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 (https://assets.phenompeople.com/CareerConnectResources/GE11GLOBAL/en_global/desktop/assets/images/poster_screen_reader_optimized_w_supplement.pdf) . 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).
As a federal government contractor, GE may in the future be required to have U.S. employees fully vaccinated against COVID-19. Some GE customers currently have vaccination mandates that may apply to GE employees.
Relocation Assistance Provided: Yes