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 $1.4B+ 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.
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.
As an engineer working on practical applications of large language models (LLMs), search and ML models, you will own the design and implementation of the platform that trains, serves and integrates these models into our products.
You will work closely with product teams across Rippling with the ultimate goal of building services/tools that help our customers operate their businesses more effectively. The work is necessarily cross-functional – successful individuals on our team have an unusually high degree of autonomy, strong customer empathy and an ability to drive outcomes across the entire engineering stack. Your expertise will contribute to the advancement of our organization's foundational AI capabilities and drive innovation in our products and services.
Rippling’s AI Platform efforts are in the early stages. By joining us now, you will help define the architecture and frameworks we’ll use and where to focus our investments in AI platform.
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.
Engineering
Bangalore, India
Share on: