Principal Machine Learning Systems Engineer (GenAI Products & Knowledge Innovations)

Responsibilities

• Build ML Systems
• Architect and implement scalable systems for training, fine-tuning, and serving large language models and embeddings.
• Build efficient retrieval, hybrid search, and RAG pipelines integrated with knowledge-grounded data.
• Develop tools and infra to support rapid experimentation, evaluation, and deployment of prototypes.
• ⚡ Enable Rapid Prototyping & Applied
• Partner with applied scientists to bring new ideas to life in robust, production-ready pipelines.
• Build proof-of-concept (POC) systems and evolve them into reliable, scalable services.
• Optimize latency, throughput, and resource efficiency for GenAI workloads.
• Collaborate Across Disciplines
• Work closely with ML engineers, backend developers, and product teams to ship end-to-end innovations.

Languages