Staff Machine Learning Engineer - AI Cloud
Hybrid (San Francisco Bay Area)$198k - $330kfull-timePosted 3mo ago
About the role
Staff ML Engineer role focused on end-to-end ML lifecycle, leading ML initiatives across Rippling's AI org, and building autonomous enterprise AI systems powered by Rippling's data graph.
Responsibilities
- Own the end-to-end machine learning lifecycle for high-impact AI initiatives
- Design and implement novel ML architectures (fine-tuned LLMs, RAG, reward models, multi-agent orchestration) tailored to Rippling's enterprise domain
- Build robust evaluation and experimentation infrastructure: offline benchmarks, A/B testing, and continuous monitoring of model quality Develop training pipelines and data flywheels that leverage Rippling's structured data graph
- Lead research-to-production efforts: identify where frontier techniques (RLHF, distillation, structured decoding, tool-use training) unlock step-function improvements
- Design self-improving systems: feedback loops, active learning, and automated retraining pipelines
- Partner closely with Product and Platform teams
- Mentor engineers across the org on ML best practices
- Track the frontier of ML research and translate breakthroughs into production systems
Qualifications
- 8+ years of software engineering experience with 5+ years focused on ML, shipping ML systems to production at scale
- Deep expertise in modern ML: LLMs, transformer architectures, fine-tuning, RLHF, RAG
- Strong fundamentals in classical ML and statistics
- Hands-on proficiency with ML frameworks (PyTorch, JAX) and production ML infrastructure
- Experience building evaluation systems for generative AI
- Proven ability to lead complex, cross-functional technical initiatives
- Strong product instincts
- Clear, precise communication to diverse audiences
- Comfort with ambiguity and high velocity
- Publications in top ML venues (NeurIPS, ICML, ACL, EMNLP) are a plus
- Experience with enterprise data or knowledge graphs is a plus
Skills
Required:End-to-end ML lifecycleLLM and transformer architecturesML frameworks (PyTorch, JAX)
Benefits
- competitive salary
- benefits
- equity
Last updated Sep 2, 2026. Interested? Apply on the company site.
About Rippling
#1 Workforce Management System | HR, IT, Finance
Rippling eliminates the friction from running a business, combining HR, IT, and Finance apps on a unified data platform.
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