Principal Machine Learning Engineer - Large Scale Embedding - Remote

Overview

This role involves leading the development of large-scale, multi-entity embeddings that drive the recommendation systems of the future.

In Short

• Lead the design and architecture of multi-entity embedding generation using GNN and transformers.
• Define the technical roadmap, working with cross-functional partners to align execution plans.
• Develop and optimize large-scale graph-based machine learning pipelines for recommendation systems.
• Ensure scalable and efficient architectures for processing complex, interconnected data.
• Collaborate with internal teams to improve relevance metrics and extend the use of models in upstream functions.
• Mentor and support the growth of your team while contributing to overall product strategy.

Requirements

• Experience in machine learning and data science.
• Proficiency in GNN and transformer architectures.
• Strong background in developing scalable machine learning pipelines.
• Ability to mentor and lead technical teams.
• Excellent collaboration skills across cross-functional teams.

Benefits

• Work remotely from anywhere in the United States.
• Opportunity to shape the future of machine learning applications.
• Collaborative work environment with cross-functional teams.
• Professional growth and mentorship opportunities.