Share this Job

Research Scientist, Machine Learning

Apply now »

Date: Sep 25, 2022

Location: Sunnyvale, CA, US, 94085

Company: Corning

Requisition Number: 57298

 

Corning is one of the world’s leading innovators in materials science. For more than 160 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people’s lives.

At Corning, our growth is fueled by a commitment to innovation. We succeed through sustained investment in research & development, a unique combination of material and process innovation, and close collaboration with customers to solve tough technology challenges. We are a four-time National Medal of Technology winner thanks to our technology leadership and R&D environment, which attract and enable the best scientific minds in the world. This pipeline of talent has brought life-changing innovation to your fingertips for more than 160 years.

 

Scope of Position:

This job provides an opportunity to work for a company committed to researching innovative materials. The successful candidate will work as part of a team, using existing data and/or generating new data to solve technical problems in a materials research environment. They should have a breadth of experience in a technical discipline combined with the ability to work with scientific data to develop predictive machine learning models. Experience with both the capture of data using different tools, management/manipulation of large data and extensive knowledge of a wide variety of analytical methods is desired. The incumbent will act as a Subject Matter Expert within a team environment to provide materials and data analytics; this may require the creation of novel computational methods and analytical models.

 

Day to Day Responsibilities:

  • Perform technical analysis and provide interpretation of results in a Research environment.
  • Work independently or as part of a team on data collection and data preparation, followed by the identification and application of appropriate analytical methods to solve problems or gain insight
  • Participate on cross functional teams to develop and test hypotheses to meet project objectives
  • Develop new theories or expand upon existing theories as needed to solve complex problems
  • Research all external and internal information relative to the problems identified by the project team
  • Collaborate with existing subject matter experts to solve very difficult problems in a variety of (mostly materials science) disciplines

 

Required Skills: 

  • Capable of independently preparing data for machine learning purposes and performing exploratory data analysis
  • Strong mathematical and programming skills
  • Deep knowledge of state-of-the-art analytical methods and the software required to apply those methods.
  • Knowledgeable of machine learning techniques, such as traditional machine learning and deep learning algorithms, convolutional neural networks, recurrent neural networks, and reinforcement learning algorithms 
  • Practical experience of using machine learning and deep learning frameworks and libraries for large-scale data mining

 

Education and Experience: MS or PhD in Scientific Discipline with experience in the application of advanced analytical methods

 

Desired Skills:

  • Knowledge of emerging technologies and algorithms in computer vision and/or machine learning in general Soft Skills (Communication/Team/Leadership)
  • Must be collaborative and able to openly engage with colleagues to achieve project goals
  • Self-motivated with an ability to manage one’s own work independently
  • Ability to communicate effectively by phone and video with team members at international locations
  • Ability to take feedback constructively and use it for personal growth

 

Travel requirements: Limited travel, likely <10% but that could include international for conferences, et al.

 

Hours of work/work schedule/flex-time: Normal Business Hours 8:00-5:00 with additional hours occasionally needed for urgent project demands.

 

This position supports immigration sponsorship.

 

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.


Nearest Major Market: San Jose
Nearest Secondary Market: Palo Alto