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In office (San Francisco)
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Intern
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Internship
Removed from the employer's board on Nov 5, 2026. First seen by Alion on Nov 5, 2026.
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Rippling is an enterprise workforce management and workforce OS platform headquartered in San Francisco, California. Founded in 2016 by Parker Conrad and Prasanna Sankar, the company provides a unified software system that manages human resources (HR), information technology (IT), and corporate finance operations. Operating on a B2B SaaS subscription model, Rippling sits on top of a centralized employee data store. Its integrated product suite covers global payroll, employee benefits administration, applicant tracking, device management, corporate expense management, corporate cards, and bill pay.
Backed by Y Combinator, Lightspeed Venture Partners, Sequoia Capital
Rippling is hiring a Machine Learning Software Engineer Intern to develop and ship machine learning products and features. The intern will formulate and train models, build scalable ML pipelines, and apply current research to improve Rippling products.
Responsibilities
- 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 pipelines for 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
Skills
- Currently enrolled in a M.Sc. 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
- Excellent communication skills
- Passion to learn and develop your skills, both in machine learning and software engineering
- Experience with developing things that use large language models (LLMs) and familiarity with pre-training and fine-tuning techniques
Benefits
- Training and support for learning and development from a dedicated mentor and manager throughout the internship
- All of the tools needed to be successful during the 13-week internship
- Socials and talks with Rippling leaders
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