Sorry this listing has closed! Don't worry, we have more awesome jobs for you.

Graduate Intern

SAS Institute

Graduate Intern

Cary, NC
Internship
Paid
  • Responsibilities

    Graduate Intern Job Locations US-NC-Cary Requisition ID 20025863 Category Intern/Entry-Level Visa Sponsorship No Travel Requirements None Overview Internship in Reinforcement Learning Are you looking for something more than just an internship? SAS is making a difference in peoples lives all around the world. SAS intern program gives you the opportunity to help create analytics software that turns data about customers, operations, financials, and more into insight. In 140 countries, our customers use SAS to battle cybercrime, speed drugs to market, streamline supply chains, boost marketing and so much more. And you can do all of this in one place our World Headquarters in Cary, NC. During your summer at SAS, youll partner with some of the brightest minds in the world on business-critical projects, and youll have the opportunity to be immersed in our award-winning culture, grow your social and professional network, interact with our senior leadership, and share your contributions with the entire company. The Reinforcement Learning Group at SAS is looking for an intern to work on cutting edge research and development in this field. We are a cross-functional team of machine learning scientists/developers and statisticians who researches new, state-of-the-art AI and machine learning algorithms and turns them into production software. We are working on a variety of exciting projects in reinforcement learning, automated machine learning and explainable AI that will impact how our customer uses AI and ML. Responsibilities: Learn, explore, and research new machine learning algorithms in the field of Reinforcement Learning. Implement prototypes of existing algorithms and new ideas in a higher-level language like Python. Write academic papers to promote the research work. During the internship, you will work on applications of reinforcement learning in real life business applications. Some of the interesting areas that you will investigate are safe RL, robust RL, RL for recommendation systems, RL for automating machine learning. Once you apply to this application, we will provide regular status updates to all applicants on a rolling basis. Based on your prior experiences and interests, your resume will be shared with hiring managers across SAS. This will then determine who you interview with during the selection process. During the selection and interview process, youll have the opportunity to learn more about the team you may work on. You can view a list of example positions below. By applying to this opportunity, you understand that you may be considered for any of these positions below. What are we looking for? Currently enrolled in an accredited college or university seeking a PhD Computer Science, Operations Research, Mathematics, Statistics, and related graduate departments in a US Based school. Experience in Machine Learning, Optimization or Data Mining and Statistical Models Strong knowledge in machine learning especially reinforcement learning algorithms from an implementation standpoint. Students must not be graduating prior to the beginning of the internship, and be enrolled to return to school after the internship ends. What type of skills do we prefer? Experience in open source Machine Learning tools like TensorFlow, PyTorch, Chainer etc. 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. Publication record in top machine learning conferences (e.g. NIPS, ICML, ICLR, KDD) 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 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 Equivalent combination of education, training and experience may be considered in place of the above qualifications. 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. Want to stay up to date with life at SAS, products and jobs? Follow us on LinkedIn

  • Industry
    Media Production