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General Electric

Lead Machine Learning Researcher General Electric
San Ramon, CA

General Electric is a high-tech industrial company engaged in energy, healthcare, and transportation.

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About General Electric

Job Description

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.

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 ways 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 learning 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:

Lead projects and orchestrate technical execution of the design and deployment of machine learning algorithms/solutions to solve industrial problems at GE

Grow 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

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 3 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, C++ 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

Strong working knowledge and experience working with big data technology e.g. Spark, Hadoop and MapReduce

Experience in applying machine learning and artificial intelligence to industrial problems

Programming skills/ experience in high level languages like Java, .NET and cloud computing

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 experience

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

About Us:GE 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.

Today, 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.

We 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.

This rich legacy of delivering transformative innovation is thriving now more than ever.

Discover 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 and https://www.linkedin.com/company/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 Locations:United States;California, New York;San Ramon, Niskayuna;

About General Electric

General Electric is a high-tech industrial company engaged in energy, healthcare, and transportation.

Headquarters
General Electric
Size
205000 employees
General Electric

5 Necco St

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