Principal Machine Learning Engineer

Title: Principal Machine Learning Engineer Location: Bay Area (5-days on-site) Compensation: up to $500k + Bonus + Equity We’re partnering with a globally recognized enterprise investing heavily in AI, building one of the most widely adopted internal LLM platforms at scale. The platform is used by a large global workforce and supports use cases such as chatbots, agent workflows, code generation, and data interaction, helping teams move from idea to production significantly faster. This is a high-impact, highly visible role at the intersection of research and production, where you will help design and scale LLM-powered systems and reusable APIs used across the organization. The team operates in a fast-paced, execution-focused environment, taking problems from concept to production quickly with real adoption at scale. What You’ll Do - Design and deploy scalable LLM-powered systems and reusable backend APIs - Bridge cutting-edge AI research with production-grade engineering - Build agent-based systems, RAG pipelines, and workflow automation tools - Develop capabilities across chatbots, text-to-code, and data interaction layers - Partner with cloud and SRE teams to deliver robust, scalable architectures - Implement distributed systems for training and inference (e.g., Ray, DeepSpeed) - Drive best practices for ML systems, deployment, and performance optimization