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Data Scientist - Distributed Algorithms (Trading Intelligence)
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- Many of our problems involve getting deep learning algorithms to train and inference at scale.
- Some of the challenges include sparse and/or noisy labels and data, large output space (thousands of labels), millisecond latency requirements, high QPS requirements (thousands or millions per second), and unreliable ground truth.
- As a Staff Data Scientist, you will contribute meaningfully through leading others.
- You are a broadly skilled data scientist with deep expertise working with embedded models in always-onproduction systems and working across a variety of technologies and data sources.
- To complement this team, you will welcome ideas that are different from your own and be skilled at finding and building from common ground.
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