Machine Learning Software Engineer Intern Summer 2027

About the Role

At Rippling Engineering is at the heart of our business and culture. We believe in our early talents potential experience and aspirations. Our mission is to open the realm of possibilities and opportunities for students by fostering growth through mentorship and training ownership through impactful and innovative projects and of course fun through our diverse culture and work hard play harder attitude. As an Engineering Intern you will join the Machine Learning Team in Summer 2027 (May/June - August/September) to develop robust well-designed products implement new updates and features and solve complex problems that affect our business and our clients. Rippling Interns gain the experience of full-time engineers with responsibilities ownership and opportunity. Interns will be assigned projects that not only have an impact on the business but that are also scoped to fit within the time constraints of their internship so they can see the full impact of their work.

We provide our interns exciting and innovative projects to work on that allow them to see the fruition of their work. During your 13 weeks at Rippling we will provide all of the tools needed to be successful. Your dedicated mentor and manager will provide support for your learning and development throughout your time with us. You will join your fellow interns in a variety of socials talks with Rippling leaders and more!

What you will do

• Translate product needs into crisp mathematical formulations (models); train those models; and with a small team ship them to production.
• Learn how to design scalable machine learning pipelinesfor data preprocessing feature engineering model training and evaluation. You will work with data engineers to collect and preprocess data sets for model training.
• Stay up-to-date with the latest research in ML and related fields and apply this knowledge to improve Rippling products.

What you will need

• Currently enrolled in a . or Ph.D. program in computer science or in a related field during the course of the internship.
• Solid programming skills with an emphasis on backend experience and knowledge. Our production code base is primarily Python PySpark and PyTorch.
• Excellent communication skills.
• Passion to learn and develop your skills both in machine learning and software engineering.

Additional Qualifications

• Experience with developing things that use large language models (LLMs) and familiarity with pre-training and fine-tuning techniques.

Even if you dont meet all of the requirements listed here we still encourage you to apply. Skills can be used in lots of different ways and your life and professional experience may be relevant beyond what our list of requirements has outlined.

For more information no the team please go to our website and read more about Rippling AI!

Additional Information

Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race religion color national origin ancestry physical disability mental disability medical condition genetic information marital status sex gender gender identity gender expression age sexual orientation veteran or military status or any other legally protected characteristics Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation please email

Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a 40 mile radius of a Rippling office) Rippling considers working in the office at least three days a week under current policy to be an essential function of the employees role. Interns will be based out of one of our San Francisco and New York offices.