Role Summary: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.
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 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
Qualifications/Requirements: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.
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
Desired Characteristics: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 and/or development and deployment experienceHands 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
Research is GE's innovation engine where new ideas are originated, developed
and productized to create a better world and deliver differentiated products
across the company's industrial portfolio. These products span the aviation,
power, transportation and health care sectors.
we're a forward leaning, interdisciplinary organization, matching
world-class innovation with market insights and industry connections to move
faster and deliver better outcomes for GE's businesses and customers.
continue a strong track record in innovation and invention that began with our
company's founder, Thomas Edison. GE scientists and engineers have
distinguished themselves over time, amassing tens of thousands of patents, two
Nobel prizes in chemistry and physics, and a list of inventions that have
defined and redefined generation after generation.
rich legacy of delivering transformative innovation is thriving now more than
how we're seeing, moving and creating the future at https://www.ge.com/research/, meet our
innovation giants at https://www.ge.com/research/people,
search our open positions at http://twitter.com/geresearchjobs, and connect with us on our
social channels at https://twitter.com/GEResearch
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, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.
Additional Eligibility Qualifications: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).Additional Locations:United States;California, New York;San Ramon, Niskayuna;
General Electric is a high-tech industrial company engaged in energy, healthcare, and transportation.