Machine Learning Research Engineer

Title: Machine Learning Research Engineer

Company: Samsung Research America (SRA)

Lab:  North America Bixby Lab

Location:

Overview: Samsung Research America (SRA) plays a pivotal role in developing the next generation of discovery in software, user experience and services for future products that can enrich your life.

Our mission is to research and develop new technologies by partnering with the best and brightest and creating a collaborative environment between industry and academia. Headquartered in Silicon Valley, with locations in many technology centers in North America, SRA is driven to build a culture of innovation that rapidly translates research and new ideas into the unexpected.

Why Samsung?

We have the power to enrich lives. And that's what making a better global society is all about. Samsung believes in Empowerment, Entrepreneurship and Experimental philosophy brings superior products and services that contribute to a better global society.

Position Overview:

For this position we are expanding our Bixby voice technology and features to include advanced research and projects in Wake work detection, Automatic Speech Recognition, that includes Acoustic and Language Modeling, and personalization. Other projects include voice recognition, language recognition, speech enhancement to name a few. We are looking for candidates with knowledge of Deep/Machine Learning, Digital Signal Processing with 3+ years of industry experience.

Desired Skills & Experience:

• MS or Ph.D. in with Machine Learning background or Digital signal processing
• Experience with Tensorflow or Pytorch or similar frameworks
• C/C++, PYTHON, JAVA programming language experience
• Experience with Speech application is desirable
• Experience with Jenkins based automation

Samsung is committed to encouraging a diverse workplace and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

If you have a disability or special need that requires accommodation, please let us know.