Machine Learning Graduate Intern (Year Round)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We’re the leader in analytics. 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 an Initial Public Offering (IPO) in 2024. If you’re looking for a dynamic, fulfilling internship 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 will:

• Research streaming data analysis methodologies and investigate various algorithms suitable for analysis of sensor generated data
• Perform hands on work with SAS’s tools to do statistical analysis of sensor generated data
• Check the numerical correctness of the algorithms implemented and their comparison with the current state of the art.

What we’re looking for

• You’re curious, passionate, authentic, and accountable. These are our values and influence everything we do.
• Have strong communication skills – both written and verbal.
• Be a leader. You’re the one sitting in the front row of the class.
• Embrace technology. You geek out over the latest and greatest!
• You’re a college student enrolled in an accredited program, not graduating prior to December 2023.
• Currently enrolled in an accredited university seeking a graduate degree in Statistics, Applied Mathematics, Machine Learning, or Electrical Engineering.
• Familiar with streaming data analysis, machine learning, and numerical linear algebra.
• Have hands on experience in applying machine learning algorithms.

Nice to haves

• Hands on experience with a high-level language like Python, Julia, or MATLAB
• Familiarity with SAS programming language
• GPA of 3.7 or higher.

Start Date

• January 2023 - You must be willing to work full time during the summer of 2023 and part-time during Fall 2023.

Location

• Cary HQ or Remote (United States only) - East Coast time zone preferred.

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.??