Principal Scientist - Data Pipeline Engineer
Tasks
- Architect distributed data processing pipelines at scale
- Design systems to store index and serve billions of data points
- Drive data curation for multimodal and generative model training
- Eliminate bottlenecks across ingestion processing and delivery
- Make architecture decisions for databases storage and job scheduling
- Optimize GPU inference pipelines for VLMs and LLMs
- Optimize inference throughput with batching and parallelism
- Orchestrate GPU and CPU heavy workloads with Ray
- Partner with modeling teams to define data curation requirements
Perks/Benefits
- N/A
Skills/Tech-stack
Batching | C++ | Data Curation | Data Lakes | Distributed Systems | GPU | Go | Indexing | Inference Optimization | Java | Python | Quantization | Ray | Retrieval | Rust | Spark
Education
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