Senior Machine Learning Engineer
Core
Lead architecture and implementation of large-scale, production-grade distributed systems powering AI features, specifically integrating Large Language Model (LLM) technologies into product features.
Role type
Senior Machine Learning Engineer (Infrastructure & Production)
Builds
Scalable infrastructure for generative AI features and production-ready LLM integrations
Domain
Generative AI / Large Language Models / Distributed Systems
Deliverable
production ML models
Required skills
Distributed systems architecture, Python service development, SQL, ML model integration, LLM fine-tuning, operational pipeline ownership, incident response, technical debt management
Preferred skills
MLFlow, TensorFlow, PyTorch, Airflow, Prefect
Technologies
Python, SQL, MLFlow, TensorFlow, PyTorch, Airflow, Prefect, LLMs
Responsibilities
Own architecture decisions and distributed-systems strategy for AI Products; Build interfaces to transition ML models from research to production; Operate production services and pipelines including on-call and incident response; Mentor junior engineers and champion engineering excellence
Seniority
Senior, hands-on IC with mentorship responsibilities
