Senior Engineer - ML Systems (AI Products)
Core
Design and implement large-scale, production-grade distributed systems powering AI features for millions of daily users, bridging the gap between research models and reliable product delivery.
Role type
Senior Machine Learning Systems Engineer (AI Products)
Builds
Scalable distributed production infrastructure and interfaces for generative AI features
Domain
Cloud infrastructure, distributed systems, and AI product engineering
Deliverable
production ML models | infrastructure
Required skills
System design, Python, distributed processing (Spark/Dask), SQL, production operations, incident response, technical debt management, ML model integration
Preferred skills
LLM fine-tuning, ML tooling (MLFlow, TensorFlow, PyTorch), data orchestration (Airflow, Prefect)
Technologies
Python, Spark, Dask, AWS, Kubernetes, SQL, MLFlow, TensorFlow, PyTorch, Airflow, Prefect
Responsibilities
Own architecture decisions for distributed systems, mentor junior engineers, manage technical debt, collaborate with scientists to productionize models, handle operational/on-call responsibilities
Seniority
Senior, hands-on IC
