Staff Machine Learning Engineer, Artificial Intelligence Cloud

Sourced from simplify.jobs

Rippling is hiring a Staff Machine Learning Engineer to build the intelligence layer powering Rippling AI, the company's fastest-growing product. You will own the end-to-end ML lifecycle, from problem formulation and data strategy to model development, evaluation, and production deployment. The role is deeply hands-on and involves leading technical direction for ML initiatives across the AI org.

• Own the end-to-end ML lifecycle for high-impact AI initiatives
• Design and implement novel ML architectures including fine-tuned LLMs, RAG, reward models, and multi-agent orchestration
• Build evaluation and experimentation infrastructure: offline benchmarks, A/B testing, and continuous monitoring
• Develop training pipelines and data flywheels leveraging Rippling's structured data graph
• Lead research-to-production efforts applying RLHF, distillation, structured decoding, and tool-use training
• Design self-improving systems with feedback loops, active learning, and automated retraining
• Partner with Product and Platform teams and mentor engineers on ML best practices

• 8+ years of software engineering experience with 5+ years focused on ML in production at scale
• Deep expertise in LLMs, transformer architectures, fine-tuning, RLHF, and RAG
• Strong fundamentals in classical ML and statistics
• Hands-on proficiency with 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 and clear communication

• Publications in top ML venues (NeurIPS, ICML, ACL, EMNLP)
• Experience with enterprise data or knowledge graphs