Staff Machine Learning Engineer
Core
Own personalization strategy and architecture for homepage feeds, recommendations, and search, building custom embeddings and foundational models that power multiple team surfaces.
Role type
Staff Machine Learning Engineer (Personalization & Recommendations)
Builds
Production ML models for personalization, custom embeddings, and evaluation harnesses for AI-driven features.
Domain
E-commerce / Family registry / Personalization
Deliverable
production ML models
Required skills
Recommender systems, custom embeddings, deep learning, model orchestration, MLOps, system design, stakeholder alignment, technical mentorship
Preferred skills
Zero-to-one problem solving, agentic AI workflows, cross-functional leadership
Technologies
PyTorch, XGBoost, scikit-learn, pandas, AWS SageMaker, MLflow, Weaviate, LangChain, Bedrock AgentCore, Kubernetes, Terraform
Responsibilities
Define personalization roadmap and technical strategy; build custom domain-specific embeddings; own full ML lifecycle from orchestration to monitoring; partner with product and data teams; coach senior engineers on complex technical decisions. (via careerplan.io/jobs/6215630004-staff-machine-learning-engineer-at-babylist)
Seniority
Staff, hands-on IC with strategic scope
