Rippling
Staff Machine Learning Engineer - AI Cloud
$198K–$330K
Seattle, WA +2 · On-site · Staff · Full-time · Posted Jul 6, 2026
- Location
- Seattle, WA
New York, NY
San Francisco, CA - Experience
- 8+ years of software engineering experience, with 5+ years focused on ML.
About the job
Leads hands-on development and production deployment of machine learning systems that power Rippling’s enterprise AI products.
What you'll do
- Own ML initiatives end to end, from problem formulation and data strategy through deployment.
- Develop and evaluate models, architectures, training pipelines, and self-improving systems for enterprise AI.
- Set technical direction, collaborate across teams, and mentor engineers on ML practices.
What they ask for
- 8+ years of software engineering experience, including 5+ years focused on ML and shipping production ML systems at scale.
- Expertise in LLMs, transformer architectures, fine-tuning, RLHF, and RAG.
- Strong classical ML and statistics fundamentals; proficiency with ML frameworks and production ML infrastructure.
- Experience building generative AI evaluation systems and leading complex cross-functional technical initiatives.
Nice to have
- Publications in top ML venues such as NeurIPS, ICML, ACL, or EMNLP.
- Experience with enterprise data or knowledge graphs.
Pay
USD 198,000–330,000 per year (base salary); USD 198,000–330,000 per year (base salary)
Tools
LLMs, RAG, RLHF, PyTorch, JAX, NeurIPS, ICML, ACL
AI focus
Builds enterprise AI models and systems, including fine-tuned LLMs, retrieval-augmented generation, reward models, multi-agent orchestration, evaluation infrastructure, and self-improving feedback and retraining loops.
Model-written summary · the original posting is authoritative