Job description

Requirements

  • Entry level
  • No Education
  • Salary to negotiate
  • Cary

Description

Do you want to research new machine learning algorithms with the intention of improving our leading data mining and machine learning production software? Are you a lifelong learner who embraces new technologies and is passionate about your own career growth? Are you curious about new technologies in Machine Learning and AI? Can you come up with new solutions to challenging problems? Are you focused on 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 that research new, state-of-the-art machine learning algorithms with the intention of creating and improving production software. Our team consists of people from many different backgrounds and a wide 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 are looking for a Machine learning scientist to help us execute on our vision.

 

Essential Requirements:


- PhD in Computer Science, Electrical Engineering, Statistics, Operations Research, Mathematics or a related quantitative field.
- 3+ years of industry or academic experience in Machine Learning, Data Mining and Statistical Models.
- Proficient in C/C++ programming, understanding data structures and distributed computing.
Preferences:


- 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.
Additional Knowledge, Skills, and Abilities:


- Excellent communication skills and the desire to work in a dynamic and collaborative environment.
- Strong analytical and creative problem-solving skills.
 

* Location:  SAS Global Headquarters in Cary, North Carolina *

 

 

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

 

Additional Information:

This position is open to potential sponsorship.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.

 

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About the company

SAS helps you make sense of the message. As the leader in business analytics software and services, SAS transforms your data into insights that give you a fresh perspective on your business. You can identify what’s working. Fix what isn’t. And discover new opportunities.

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