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. Backed by Kleiner Perkins, Lightspeed and Sequoia.
About the role
The opportunity is to push the boundaries of what machine learning can do in the enterprise through purpose-built ML systems that learn from Rippling's proprietary data graph to deliver compounding intelligence across every product surface. You will be joining the team that recently launched Rippling AI, the fastest-growing product in Rippling's history. The models and ML systems you build will be the intelligence powering every AI surface at Rippling. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Own the end-to-end machine learning lifecycle for high-impact AI projects, from problem definition through production deployment and iteration
- Design and implement ML systems—including fine-tuned LLMs, RAG, reward models, and multi-agent orchestration—tailored to Rippling's enterprise domain
- Build robust evaluation and experimentation capabilities: offline benchmarks, A/B testing, and continuous monitoring of model quality
- Develop training pipelines and data flywheels that leverage Rippling's structured data graph
- Take ML techniques from research to production: evaluate where RLHF, distillation, structured decoding, and tool-use training can improve model quality, reliability, and efficiency
- Build and improve feedback loops, active learning workflows, and automated retraining pipelines
More about this role
About the role
At Rippling, we are not just building AI features, we are building an autonomous operating system for work. We are investing heavily in the next generation of enterprise AI: intelligent background automation, systems that monitor and improve themselves, and a custom intelligence layer built on Rippling's unique data and workflows.
The opportunity is to push the boundaries of what machine learning can do in the enterprise through purpose-built ML systems that learn from Rippling's proprietary data graph to deliver compounding intelligence across every product surface. You will be joining the team that recently launched Rippling AI, the fastest-growing product in Rippling's history. The models and ML systems you build will be the intelligence powering every AI surface at Rippling.
As a Senior Machine Learning Engineer, you will own the end-to-end ML lifecycle for projects within the AI Cloud team: problem formulation, data preparation, model development, evaluation, and production deployment. You will partner with Staff engineers and cross-functional teammates to make Rippling's agents reliable, accurate, and continuously improving. This is a deeply hands-on role,...
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