ML Software Engineer Intern: Build Production-Ready Models

Engg

San Francisco (CA)

On-site

USD 55,000 - 83,000

Full time

7 days ago
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Benefits offered by this job

Mentorship program
Office-based internship in SF and NY

Job summary

Rippling is seeking an Engineering Intern to join the Machine Learning Team for Summer 2027 (May/June - August/September) in San Francisco. You will translate product needs into models, train them, and ship to production with a small team, while building scalable ML pipelines and collaborating with data engineers. The role requires current enrollment in a M.Sc.

or Ph.D. program in CS, strong backend programming skills (Python, PySpark, PyTorch), and excellent communication.

Qualifications

  • Currently enrolled in a M.Sc. or Ph.D. program in computer science or a related field during the course of the internship.
  • Solid programming skills with an emphasis on backend experience; production code base uses Python, PySpark and PyTorch.
  • Excellent communication skills; a passion to learn and develop in ML and software engineering.

Responsibilities

  • Translate product needs into mathematical formulations (models); train those models; ship them to production with a small team.
  • Design scalable machine learning pipelines for data preprocessing, feature engineering, model training and evaluation.
  • Collaborate with data engineers to collect and preprocess data sets for model training; stay updated with latest ML research and apply it to Rippling products.

Skills

Python
PySpark
PyTorch
Backend experience
Communication skills

Education

M.Sc. or Ph.D. student in computer science

Tools

Python
PySpark
PyTorch

Job description

Rippling is seeking an Engineering Intern to join the Machine Learning Team for Summer 2027 (May/June - August/September) in San Francisco. You will translate product needs into models, train them, and ship to production with a small team, while building scalable ML pipelines and collaborating with data engineers. The role requires current enrollment in a M.Sc.

or Ph.D. program in CS, strong backend programming skills (Python, PySpark, PyTorch), and excellent communication.

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