ML Engineer Intern - Build & Deploy Models

Rippling; San Francisco (CA); On-site; USD 45,000 - 56,000; Full time

Benefits offered by this job

Mentorship

Intern socials

Offices in SF & NY

Job summary

Rippling seeks an Machine Learning Software Engineer Intern for Summer 2027 in San Francisco. You will join the Machine Learning Team to develop robust ML products, update features, and tackle impactful problems for the business and clients.

The role emphasizes mentorship, ownership, and hands-on projects with a path toward full-time engineers' responsibilities during a 13-week internship.

Qualifications

• Currently enrolled in a MSc or Ph.D. program in computer science or in a related field during the course of the internship.
• Solid programming skills with emphasis on backend experience; production code is Python-based (PyTorch, PySpark).
• Experience with developing ML models and pipelines; eager to learn and grow in software engineering.

Responsibilities

• Translate product needs into crisp mathematical formulations and ship them to production.
• Design scalable ML pipelines for data preprocessing, feature engineering, model training, and evaluation.
• Stay up-to-date with the latest ML research and apply it to Rippling products.

Skills

Backend experience

Model deployment

Research awareness

Education

MSc or PhD in CS or related field

Tools

Python

PyTorch

PySpark

Job description

Rippling seeks an Machine Learning Software Engineer Intern for Summer 2027 in San Francisco. You will join the Machine Learning Team to develop robust ML products, update features, and tackle impactful problems for the business and clients.

The role emphasizes mentorship, ownership, and hands-on projects with a path toward full-time engineers' responsibilities during a 13-week internship.