Overview
About Rippling
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.
Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.
Based in San Francisco, CA, Rippling has raised $1.85B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.
We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.
About the Team
Rippling’s Applied ML Team is responsible for integrating AI/ML capabilities into our product suite. These integrations range from AI-powered features within existing products, like summarization tools in our applicant tracking system, to entirely AI-driven products such as our Talent Signal offering.
As our product ecosystem evolves, we are establishing a dedicated team to build and manage core platform components for AI. This team will oversee critical aspects of ML pipelines, large language models (LLMs), and search infrastructure. The role blends software engineering with infrastructure expertise, and early team members will play a pivotal role in shaping the AI platform company-wide. Our primary stakeholders are ML and software engineers within the Applied ML team, as well as engineers across other product teams.
About the Role
What you will do
- Design and develop scalable platform components for data preprocessing, feature engineering, model training, and evaluation.
- Build core components like search platform which could be used by Rippling products
- Collaborate with cross-functional teams to translate requirements into reusable platform components
- Act as an interface between product teams and ML Engineers. Build services that offer models built by ML Engineers for product teams.
- Stay up-to-date with the latest research in ML and related fields, and apply this knowledge to improve Rippling products.
Qualifications
- You are a seasoned software engineer – having 14+ 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 an expert at working with AI/ML – having 3+ years of industry experience building platforms that handles data preprocessing/transformation, feature engineering/storage and model training/evaluation/deployment/serving.
- 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 (JVM languages/Go/Ruby experience should be transferable).
- 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.
- Familiarity with LLM pre-training and/or fine-tuning techniques and infrastructure.
Additional Information
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accomodations@rippling.com
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.
- Mumbai, Maharashtra, India
- Mumbai, Maharashtra, India
- Mumbai, Maharashtra, India
- Mumbai, Maharashtra, India
- Mumbai, Maharashtra, India
- Mumbai, Maharashtra, India
- Mumbai, Maharashtra, India
- Mumbai, Maharashtra, India