Rockefeller Philanthropy Advisors seeks a Staff Machine Learning Engineer to take ownership of building and scaling advanced AI-driven products from research to production. You will design distributed architectures, work with massive datasets, and leverage state-of-the-art machine learning models, including NLP and LLM-based systems, while driving best practices and mentoring engineers.

What You'll Do

Design, develop, and deploy distributed machine learning systems and libraries with company-wide impact.
Build, integrate, and maintain pipelines for processing large-scale datasets, including NLP tasks such as summarization, relation extraction, entity recognition, and classification.
Partner with product managers and engineers to shape AI product direction and technical strategy.
Troubleshoot and resolve complex issues, ensuring high-quality, reliable systems.
Mentor and coach engineers, promoting best practices, robust design patterns, and a culture of technical excellence.
Continuously evaluate and adopt new technologies and methods to enhance AI capabilities and team skill sets.

What We're Looking For

BS, MS, or PhD in Computer Science or a related field, or equivalent practical experience.
10+ years as a backend software engineer integrating and deploying ML-driven functionality.
Mastery of data structures and algorithms with practical application in scalable systems.
Proficiency in authoring APIs in Python or Golang.
Proven ability to mentor and guide engineers across technical and product domains.
Strong curiosity, enthusiasm, and commitment to continuous learning and teaching.
Eligible to work from San Francisco, CA, Pasadena, CA, or Washington, DC.