• Machine Learning Developer

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

    Germany SAS



    Do you want to research new machine learning algorithms and turn them into production in our leading data mining and machine learning software? Are you a lifelong learner who strive for growth in your technical skills? Are you curious about new technologies in Machine Learning and AI? Can you come up with new solutions to challenging problems? Are you passionate about implementing high-quality, highly scalable algorithms? Can you deliver work on time in a fast-paced environment?

    If so, we have an opportunity for you. We are looking for a strong Machine Learning Developer to develop new algorithms as part of the Machine Learning R&D team within the Artificial Intelligence and Machine Learning division of SAS. We are a cross-functional team of machine learning scientists/engineers and statisticians who researches new, state-of-the-art machine learning algorithms and turns them into production software. Our team consists of people from different backgrounds and a variety of professional experiences.

    We are working on a variety of exciting projects, including automated and explainable AI, and we are looking for experienced machine learning developers with a strong analytical background and excellent programming skills to work with us. We’re not looking for a machine learning developer to simply develop algorithms but rather a creative and passionate engineer and scientist who wants to touch every aspect of machine learning by developing automated and interpretable algorithms that can change the world. 

    We’re looking for a Machine learning scientist to help us execute on our vision. While this work involves doing research and innovating new algorithms, it also includes working heavily on production software that will make it into the hands of our customers.


    *Location:  Cary, NC *


    Essential Qualifications

    • Ph.D. in Computer Science, Electrical engineering, Statistics, Operations Research, Mathematics or related field
    • 3+ years of industry or academic experience in Machine Learning, Data Mining and Statistical Models
    • Strong knowledge in machine learning algorithms from an implementation standpoint.
    • Proficient in C/C++ programming, understanding data structures and distributed computing
    • Excellent communication skills and the desire to work in a dynamic and collaborative environment
    • Strong analytical and creative problem solving skills


    • Experience applying machine learning in different applications
    • Strong knowledge in tree-based models, recommendation systems and rule-based algorithms
    • Natural learner who keeps up with the latest AI and ML algorithms
    • Strong publication record in top machine learning conferences (e.g. NIPS, ICML, KDD)
    • Ability to implement distributed, parallel algorithms


    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:

    SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. Read more: Equal Employment Opportunity is the Law. Also view the supplement EEO is the Law, and the notice Pay Transparency  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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