Staff Software Engineer (Backend), Machine Learning
Rippling
About The Role
We use machine learning and large language models to build software which helps our customers operate their business effectively. This manifests as either features inside of existing Rippling products or new products. Successful individuals on our team tend to operate with autonomy and alacrity, have strong customer empathy, and an ability to drive outcomes across the entire engineering stack from data ingestion through modeling and into production.
What You'll Do
Design, develop, code and test backend software systems.
Ensure operational excellence and scale our data platform capabilities.
Work with other teams to build AI & data-driven products, which Rippling will sell.
Qualifications
You are a seasoned software engineer – having 8+ years of industry experience building software at some (or all) levels of the stack (foundational infra, backed, ux). You should be able to point to specific products that exist today that wouldn’t have been possible without your contribution.
You are comfortable with hands-on programming – Rippling mostly builds in Python, but prior experience in Python is not a hard requirement for this role.
You have a knack for communicating complex technical ideas with clarity and precision.
Additional Qualifications
Experience developing user-facing applications that use large language models (LLMs).
Experience with full stack software engineering (distributed systems, services, UX). The more of the stack you can span comfortably, the more effectively you’ll be able to help drive project outcomes.
Experience with search relevance and search engine infrastructure.
Experience with big data systems in production: eg, Spark, Pinot, Presto.
- Medical, Dental, Vision, FSA, HSA, Commuter, Life and Disability Benefits
- Uncapped PTO and flexible work hours
- Free onsite lunch
- Generous parental leave
- Transgender health insurance coverage
- Great compensation package (salary, equity)
- Fun, casual atmosphere and meeting-light culture