Rippling aims to solve the business problem of fragmented workforce systems by providing a single platform for HR, IT, and Finance, enabling comprehensive management and automation of the employee lifecycle. The Machine Learning Team specifically focuses on applying LLMs and traditional ML techniques to help managers run companies more effectively by building a knowledge graph of people and work outputs.
Requirements
- Solid programming skills with an emphasis on backend experience and knowledge.
- Our production code base is primarily Python, PySpark, and PyTorch.
- Experience with developing things that use large language models (LLMs) and familiarity with pre-training and fine-tuning techniques.
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.
- 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.
- We are building data & machine learning infrastructure, training custom models and building user facing apps.
- We regularly span the entire stack.
- We work directly with our executive team on product planning & execution.
Other
- Currently enrolled in a M.Sc. or Ph.D. program in computer science or in a related field with at least 1 semester/quarter after their internship is completed
- Excellent communication skills.
- Passion to learn and develop your skills, both in machine learning and software engineering.
- We’re hiring exceptionally smart, autonomous engineers who can communicate complex technical ideas with clarity and precision.
