Post Doctoral Researcher - AI & Machine Learning

Job Description SummaryAs a Post Doctoral Researcher, you will work with GE Vernova Advanced Research, GEV Business, and external customers to define, build, and execute strategic research and development programs focused in AI and Machine Learning aligned with our Digital Industrial vision.As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business’s mission to power the energy transition. We forge the partnerships and invent the technologies required to electrify and decarbonize for a zero-carbon future.Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova’s businesses, the U.S. government, and more than 420 technology partners to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.Job DescriptionEssential 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 patentsQualifications/Requirements:• MS + 2 years experience or PhD 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• Legal authorization to work in the U.S. is required. We are unable to sponsor individuals for employment visas, now or in the future, for this position 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 www.gecareers.com to be consideredDesired Characteristics:• Ph.D. focusing on new advancements in Machine Learning• Experience in writing grant proposals and participating in the execution of grant-supported research• 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 impactThe salary range for this position is $85,600 - $130,000 USD, annually. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate’s experience, their education, and the work location. This position is also eligible for a performance bonus. This position will remain posted until at least September 5th, 2024.GE provides a comprehensive benefits package that provides access to plans which support the overall wellbeing of our employees and their dependents. These benefits include, but are not limited to, health care coverage (medical, dental, vision, pharmacy), a retirement plan that includes Company Retirement Savings and a 401K with Company matching, Life Insurance options, Disability coverage, paid time-off, EAP, and more.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).Relocation Assistance Provided: Yes