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Machine Learning Scientist
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Full-time
- To do this, we use a human-in-the-loop approach, mixing intelligent automation software with remote human workers to form a powerful and frictionless customer service.
- Our deep focus on conversation quality and flexibility via our human-in-the-loop approach differentiates us from other automated assistants and has helped us deliver a highly reliable and flexible natural language interface from day one.
- Individuals in this role design data collection strategies, frame the right problems to solve, develop models, measure and compare model performance, and integrate these models into production features.
- ML predictions are relevant and usable within the primary platformConfidence metrics can be integrated into automation systemsData/annotation collection facilities for each problem are baked into our platformYou HaveExperience in one of the following and familiarity with several others:NLP / computational linguistics – techniques (e.g., pos tagging, dependency parsing, chunking, classification,
- and tools (e.g., Stanford NLP, nltk,
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