Systems Engineer supporting deployment and operational reliability in cloud - based healthcare platform. Collaborate with engineering and QA teams to manage cloud environments and troubleshoot issues.
About the role
- Senior ML Systems Engineer building and optimizing data platforms to transform Hollywood with AI technologies. Focusing on data pipelines, machine learning frameworks, and large-scale datasets.
Responsibilities
- Build and evolve a data platform (LanceDB, DataFusion, SQL + vector search) used to curate large multimodal datasets
- Design systems that index and process thousands of videos using ML pipelines (face detection, quality assessment, tracking, etc.) Optimize data access patterns for training (Arrow, Parquet, Iceberg)
- Improve training performance across single-node and multi-node setups
- Work with PyTorch and Ray to scale data loading and training pipelines
- Ensure preprocessing and postprocessing pipelines are efficient and reproducible
- Build systems to collect, store, and analyze model outputs (Parquet / Iceberg)
- Develop tools for dataset inspection and model comparison (including video-based workflows)
- Design and maintain infrastructure for model versioning, experimentation, and promotion to production
- Own and optimize inference pipelines using Triton
- Define request protocols and build model ensembles
- Improve performance and reliability of production inference
Requirements
- You have a track record of building ML infrastructure or data platforms—not just training models
- Strong Python backend expertise (e.g. FastAPI or similar)
- A deep intuition for data pipelines and performance trade-offs (I/O vs compute, batching, memory layout)
- Solid hands-on work with PyTorch (training pipelines, data loading, preprocessing)
- Practical experience with distributed systems (Ray, DDP, or similar)
- Proven ability to work with large-scale datasets (TB-scale or high-throughput pipelines)
- Familiarity with columnar data formats (Arrow, Parquet, Iceberg, or similar)
Benefits
- Autonomy
- A hybrid working environment
- Competitive Salary
- All permanent employees receive generous stock options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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