Location(s): United States; California, New York; San Ramon, Niskayuna
About Us: GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.
At GE Global Research, we’re redefining what’s possible. From cutting-edge research in molecular pathology for use in personalized cancer diagnostics to programs in coal gasification and renewable power that drive clean energy solutions, our work at Global Research is world-renowned. As part of our team, you’ll find yourself among nearly 3,000 scientists and engineers from every discipline in a dynamic atmosphere where you’ll be constantly challenged to learn and grow. You’ll have access to leaders on all levels of the organization and collaborate across the globe with the very best in the field. If you have an insatiable intellectual curiosity and the ability to articulate your vision, then join us and watch the work you do create the next generation of products and processes that will impact the globe for generations to come.
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.
Role Summary: Are you looking for meaningful work? Beyond ad placement and curating personal “likes” profiles? Work on problems in Healthcare, Aviation, or Renewable Energy? 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.
Essential Responsibilities: You will collaborate with world-class technological leaders from many different disciplines. You will be immersed in an interdisciplinary team, you will continuously learn from the different way other experts think, and your contributions will make a difference.
Collaborate with and provide technical leadership to machine learning and lead researchers; Lead the development & deployment of supervised and unsupervised leaning problems in an applied research environment. Develop & deploy modern machine learning, artificial intelligence and statistical methods (Clustering and classification algorithms, deep learning, transfer learning, adversarial learning, active learning, continuous learning, explanation learning, etc) for finding patterns/models from real-world industrial data. Familiarity with large data sets, cloud based development and deployment, open source practices and frameworks and experience in putting intelligent applications in production are desirable.
In this role you will:
Identify key technical issues and focus resources to produce cutting-edge technical breakthroughs in design of machine learning & artificial intelligence algorithms to solve industrial problems at GE
Apply and extend your business acumen to propose and apply economically viable technical solutions and roadmaps for funding and execution in close cooperation with GE Business counterparts
Define data needs, evaluate data quality, perform and critique appropriate statistical analyses using software such as Python, R, MATLAB, and/or Scala. Explore, determine & develop technical approaches to be used and apply them on major challenges
Effectively communicate technical analyses and results to company senior leadership
Identify and lead proposal activities to respond to external and internal funding opportunities
Serve as a technical expert/mentor and aspire to continuously expand your expertise within the field of machine learning to support growth for lab, seeking new funding opportunities as well as through support for recruitment activities
Identify and collaborate with academic institutions and external leaders in machine learning and related fields
Identify industry and academic trends in the areas of machine learning research and industrial applications of ML relevant to GE
Doctorate Degree in Computer Science, Mathematics, Applied Statistics, Operations Research or in Engineering
Foundation in theories underlying machine learning and artificial intelligence techniques
Minimum 6 years of experience in applying theoretical or experiential knowledge on machine learning & artificial intelligence to solve real world problems
Experience in developing machine learning packages with modern programming languages e.g. Python, R, Scala, Java, MATLAB etc.
Legal authorization to work in the U.S. is required; we will not sponsor individuals at the Masters level 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, or San Ramon, CA
Must be 18 years or older
You must submit your application for employment on the careers page at www.gecareers.com to be considered
Experience with designing and prototyping algorithms on industrial data
Experience in applying machine learning and artificial intelligence to industrial problems
Programming skills/ experience in high level languages like Java, .NET, and Cloud computing
Strong working knowledge and experience working with big data technology e.g. Spark, Hadoop and MapReduce
Interest/Experience in large data sets, cloud based architectures and deployment frameworks for machine learning algorithms
Strong analytical skills, with demonstrated reputation including publications / development / deployment experience
Hands on experience with medium scale distributed compute infrastructure deployment is a plus
Excellent teamwork and customer focus
Excellent written and verbal communication skills
Ability to work independently with minimal direction
Flexibility of working across all functions/levels as part of a team
Locations: United States; California, New York; San Ramon, Niskayuna
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