Principal Machine Learning Engineer

About the role

A senior role combining hands-on machine learning operations with research-level experimentation. The engineer builds and improves ML systems and helps set the long-term direction for search and discovery.

At a glance

• PayNot stated in the posting
• Remote scopeRemote, United States
• Posted27 Sep 2026
• Last checked18 Oct 2026

What you will do

• Build new machine learning systems, close data gaps and maintain and improve the existing ML pipeline
• Contribute to architecture decisions and statistical methodology together with the wider engineering team
• Present model results and roadmaps, including business and revenue impact

What they look for

• At least eight years of machine learning engineering covering both MLOps and research work, with principal-level impact from paper to produc
• Hands-on experience implementing ML papers and running comparative training experiments against production baselines
• Experience with or a informed view of search and discovery systems, including how large language models affect build versus buy decisions
• Comfort acting as a cross-functional driver who can debate architecture and statistical methods across teams
• Experience presenting technical results and roadmaps to broad or executive audiences

Nice to have

• Hands-on work with search, personalization, recommendations, ranking or lifecycle modeling
• Experience with MLOps practices such as model versioning, CI/CD for ML, monitoring and operations