Machine Learning Researcher

Job description

3025934
Additional Cities

San Ramon, Niskayuna
Career Level

Entry-Level
Relocation Assistance

Yes
Business

GE Corporate
Business Segment

Corporate Global Research
Function

Engineering/Technology
Country/Territory

United States
Additional States/Provinces

California, New York
Postal Code

12309-1027
Role Summary/Purpose

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 way other experts think, and your contributions will make a difference.

Collaborate with Senior Machine Learning Researchers and world-class multidisciplinary teams to address 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:

·  Develop and deploy machine learning algorithms/solutions to solve industrial problems at GE

·  Determine methodologies needed; apply such methodologies (e.g. Neural Nets, Deep Learning, Active Learning, Random Forest, Bayesian methods, etc.) on monitoring, classification, prognostics, optimization and related research domains
·  Define data needs, evaluate data quality, perform and critique appropriate statistical analyses using software such as Python, MATLAB, R, TensorFlow, etc. Explore, determine & develop technical approaches to be used and apply them on major challenges

·  Interface closely with GE Business counterparts to understand/define requirements, domain knowledge/models, and data needs

·  Effectively communicate technical analyses and results

·  Support proposals to respond to internal as well as external funding opportunities

Qualifications/Requirements

·  Doctorate Degree in Computer Science, Mathematics, Applied Statistics, Operations Research, Engineering or related field
·  Foundation in theories underlying machine learning and artificial intelligence techniques

·  Ability to apply theoretical or experiential knowledge on machine learning to solve industrial problems

·  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 in applying machine learning and artificial intelligence to industrial problems

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

·  Knowledgeable with relational databases & SQL concepts

·  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 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 under uncertainty

·  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 anEqual 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).
Primary Country

United States