• Machine Learning / AI Staff Scientist – Computer Vision

    Job Locations US-NC-Cary
    Requisition ID
    Research and Development
    Visa Sponsorship
    Travel Requirements
  • Overview

    Germany SAS


    We’re looking for a strong staff scientist to develop image processing methodologies as part of the Cognitive Computing R&D team within the Artificial Intelligence and Machine Learning division of SAS. Our team’s elevator pitch is that “we seek to enable more human-like interactions with SAS software”. To do that, we develop solutions and tools that provide functionality such as natural language understanding/generation, text summarization, and image/video processing.


    If you’re the right fit, you’ll join an innovative, agile and dynamic team designing and developing solutions across SAS’s AI portfolio. We’re a cross-functional team comprised of varying skills sets and experience, ranging from machine learning to natural language, audio, image, and video processing.

    If you like hard problems, this is the team for you. If, when you read “CNN”, you think image processing, and not news network, this may be the team for you. If the word “layers” makes you think of a neural network, and not cake, well, that’s crazy. If you synthesize data structures and novel algorithms while mowing the lawn, we may be interested. If you get excited by problem solving and have a roll-up-your-sleeves mentality, you’ll fit right in.


    While the title says “scientist”, and we do want someone with strong analytical and research chops, please know you will be working heavily on production software that will make it into the hands of our customers. We need a developer, and a researcher.


    • Master’s degree or higher (PhD preferred) in Computer Science or a related field
    • 3-5 years of experience in commercial software development
    • Strong theoretical background in data structures and algorithm design
    • Background in artificial intelligence, machine learning or deep learning
    • Proficient in C/C++, Java and/or Python programming


    • Excellent written and verbal communication skills
    • Ability to work independently as well as with a team
    • Experience with Agile software development methodologies
    • Experience with Test Driven Development


    • Experience with image/video processing and/or signal processing
    • Experience with image processing libraries such as OpenCV and/or ITK
    • Experience building systems that process large volumes of data using machine learning and/or deep learning methods
    • Experience building distributed systems
    • Experience using TensorFlow, Caffe, MXNet or similar deep learning library
    • Experience building RESTful APIs
    • Experience using Eclipse, IntelliJ IDEA or similar IDE
    • Experience writing unit tests using a framework such as JUnit or TestNG
    • Experience using Git


    SAS looks not only for the right skills, but also for a cultural fit. We seek colleagues who will contribute to the unique culture that makes SAS such a great place to work. We look for the total candidate: technical skills, culture fit, relationship skills, problem solvers, good communicators and, of course, innovators. Candidates must be ready to make an impact.


    Additional Information:

    To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.SAS is an equal opportunity employer.  All qualified  applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. The level of this position will be determined based on the applicant's education, skills and experience. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.


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