# Senior Machine Learning Engineer - AI Cloud at Rippling

- Company: Rippling
- What the company does: 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.
- Company website: https://rippling.com/
- Type: Startups (AI role)
- Level: Senior
- Location: New York, NY
- Work setup: On-site
- Pay: $173K to $288K base salary per year (USD)
- Posted: 2026-11-03
- Apply by: 2026-12-18
- Apply: https://ats.rippling.com/rippling/jobs/5c093fad-110e-4046-a72b-ec1ac318975a?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/rippling-senior-machine-learning-engineer-ai-cloud/

## 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

Tags: Engineering

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/rippling-senior-machine-learning-engineer-ai-cloud/