Staff Machine Learning Engineer
Core
Design, build, and scale machine learning and AI-powered solutions on a modern data platform to power conversational analytics, automation, and customer-facing experiences for self-care businesses.
Role type
Staff Machine Learning Engineer (Data & AI Platform)
Builds
Production-grade ML systems, semantic data models, and AI-powered data products for customer analytics and automation.
Domain
Self-care industry (salons, spas, medspas) / Data Engineering & Machine Learning
Deliverable
production ML models | product features
Required skills
Python, SQL, end-to-end ML workflows, LLMs, embeddings, recommendation systems, forecasting models, semantic data modeling, MLOps, cloud data platforms (Snowflake, Databricks)
Preferred skills
Snowflake Cortex
Technologies
Python, SQL, Snowflake, Databricks, LLMs, embeddings, recommendation systems, forecasting models
Responsibilities
Design and deploy production-grade ML systems for analytics and automation; Develop and operationalize end-to-end ML workflows from data prep to monitoring; Build scalable AI solutions leveraging LLMs and modern ML techniques; Collaborate with product and engineering to identify high-impact use cases; Design and evolve semantic data models for scalable analytics; Mentor engineers and influence architecture standards.
Seniority
Staff, technical leadership & mentorship
