Cary HQ, NC, US
1 day ago
IoT Machine Learning Intern (PhD) - Year-Round
Welcome page Returning Candidate? Log back in! IoT Machine Learning Intern (PhD) - Year-Round Job Locations US-NC-Cary HQ | US-Remote Requisition ID 2024-38750 Category Intern Visa Sponsorship Yes Travel Requirements None

 

 

Start Date:  This is a year-round internship opportunity.  Students work full-time in the summer and part-time (10-15 hours on average) during the academic year.  

Location:  Cary, NC HQ or Fully Remote

 

Nice to meet you!

 

We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.

 

We’re also a debt-free multi-billion-dollar organization on our path to IPO-readiness. If you're looking for a dynamic, fulfilling career coupled with flexibility and world-class employee experience, you'll find it here.

 

What you’ll do  

Looking for *that* internship? The game-changing one that’ll help you learn, grow, and chart your path forward? You’ll find it at SAS. Our interns aren’t coffee runners – they do real, meaningful work. Our award-winning internship program is focused on development, culture, and community. We’ll help you grow professionally, find (or further) your passion, and make memorable connections that last beyond the summer.   

 

The IoT Analytics group at SAS is responsible for developing tools to analyze high frequency and high dimensional IoT data for applications in the areas of dimension reduction, anomaly detection, recommendation systems, time frequency analysis, and digital signal processing.

 

As an intern, you might be: 

researching streaming data analysis methodologies and investigating various algorithms suitable for analysis of sensor generated data,performing hands on work with SAS’s tools to do statistical analysis of sensor generated data, andchecking the numerical correctness of the algorithms implemented and their comparison with the current state of the art.

 

Required Qualifications

 

PhD student majoring in Statistics, Mathematics, Electrical Engineering, Operations ResearchYou’re a college student enrolled in an accredited program, not graduating prior to December 2025.Familiar with streaming data analysis, machine learning, and numerical linear algebra.Have hands on experience in applying machine learning algorithms.You’re curious, passionate, authentic, and accountable. These are our values and influence everything we do.Strong communication skills – both written and verbal.Leadership abilities. Your past experiences demonstrate you’ll take initiative and go above and beyond the call of duty.You’re interested in the future of Analytics and embrace technology.

 

Preferred Qualifications

Hand on experience with a high-level language like Python, Julia, or MATLABFamiliarity with SAS programming language

 

Internship Dates: 

Year Round:  Beginning January 2025 Summer Only: May 20 – August 8, 2025. If your university is on a quarter system, we can be flexible on start date.

 

 

Location 

Cary HQ/Hybrid or fully Remote

 

 

Perks of the job  

Work with (and learn from) the best. As a SAS intern, you’ll get face time with our top executives! Free SAS programming training and certification.   At SAS, the Future of Work is whatever you want it to be. Want to work remotely? That’s cool. Prefer a mix of sweatpants and in-person collaboration? That’s great, too.  Your well-being matters, and that’s why we support all dimensions of your well-being by offering programs that reduce stress and distractions to help you stay healthy and productive.  This includes an on-site and remote Work/Life Center staffed by master’s level Social Workers and an Employee Assistance Program.We work hard, but we like to play hard, too. Enjoy hackathons, social events and other opportunities to connect + engage.  

 

Diverse and Inclusive

At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it’s essential to who we are. To put it plainly: you are welcome here.

 

Additional Information:

 

SAS is an equal opportunity/Affirmative Action 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: Know Your Rights. Also view the Pay Transparency notice.

 

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.

 

SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com.

 

Pay Transparency: The hourly rate for SAS internships is determined by the applicant’s year in school and the position they are hired into. Hourly rates range from $15 – $31 for associate’s/bachelor’s level positions and $29 - $49/hour for master’s/Ph. D positions. Internship roles are not eligible for bonus. 

 

#SAS

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