1 day ago
Responsibilities
- Translate product needs into mathematical formulations and train and ship models to production.
- Design scalable machine learning pipelines for data preprocessing, feature engineering, model training, and evaluation.
- Collaborate with data engineers to collect and preprocess datasets for model training.
- Stay current with machine learning research and apply relevant knowledge to Rippling products.
Requirements
- Currently enrolled in an M.Sc. or Ph.D. program in computer science or a related field during the internship.
- Strong programming skills with backend experience and knowledge.
- Experience with Python, PySpark, and PyTorch.
- Excellent communication skills and enthusiasm for learning machine learning and software engineering.
- Preferred: experience developing applications using large language models and familiarity with pre-training and fine-tuning techniques.
Benefits
- 13-week Summer 2027 internship running approximately May/June through August/September.
- Dedicated mentorship and manager support for learning and development.
- Intern social events, talks with Rippling leaders, and other programming.
- Interns are based in Rippling’s San Francisco or New York offices; employees within 40 miles of an office are currently expected to work in-office at least three days per week.
Categories
About Rippling
Rippling builds a unified workforce management platform that combines HR, payroll, IT, and finance software for businesses on a single system. Its SaaS suite covers onboarding, payroll, time tracking, benefits, device and identity management, spend/expenses, and accounting integrations with ERPs like NetSuite, QuickBooks, Microsoft Dynamics 365, and Oracle. Founded in 2016 and headquartered in San Francisco, Rippling is privately held and serves companies from startups to large enterprises.