Senior ML Systems Engineer
Required skills
Track record of building ML infrastructure or data platforms, Strong Python backend expertise, Deep intuition for data pipelines and performance trade-offs, Solid hands-on work with PyTorch, Practical experience with distributed systems, Proven ability to work with large-scale datasets, Familiarity with columnar data formats
Preferred skills
Exposure to video or media pipelines, Familiarity with vector search or embedding systems, Experience with Triton or production inference systems, Frontend experience for building internal tools
Technologies
LanceDB, DataFusion, SQL + vector search, Arrow, Parquet, Iceberg, PyTorch, Ray, Triton, FastAPI, FFmpeg, Parquet / Iceberg
Responsibilities
Build and evolve a data platform used to curate large multimodal datasets, Design systems that index and process thousands of videos using ML pipelines, Improve training performance across single-node and multi-node setups, Work with PyTorch and Ray to scale data loading and training pipelines, Build systems to collect, store, and analyze model outputs, Develop tools for dataset inspection and model comparison, Design and maintain infrastructure for model versioning, experiment, and promotion to production, Own and optimize inference pipelines using Triton, Define request protocols and build model ensembles, Model Registry & Lifecycle, Inference Systems
Seniority
Senior
Domain
Machine Learning, AI, Hollywood, Entertainment, Data Systems, High-performance Compute
