Principal Machine Learning Engineer
Core
Build new ML systems from the ground up, bridge hands-on MLOps execution with research-level thinking, and shape the long-term vision for search and discovery using large language models.
Role type
Principal Machine Learning Engineer (Search & Discovery)
Builds
New ML systems, ML pipelines, and infrastructure (e.g., Redis clusters) for search and discovery.
Domain
E-commerce / Marketplace / Search & Discovery
Deliverable
production ML models
Required skills
MLOps, reading and implementing ML papers, running comparative training experiments, building and operating ML infrastructure, architecture decision-making, presenting technical results to executives
Preferred skills
Search, personalization, recommendations, ranking, lifecycle modeling, MLOps best practices (CI/CD, monitoring, containerization), e-commerce/subscription business experience, defining metrics and experimentation frameworks
Technologies
Redis, Docker, Kubernetes
Responsibilities
Build new ML systems from the ground up, read and implement ML papers on alternative architectures, stand up and manage infrastructure, weigh in on architecture decisions, present model results and roadmap to executive audiences
Seniority
Principal, hands-on IC with strategy & mentorship
