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Senior Machine Learning Scientist

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The role

Identify opportunities where ML can create value for customers and define the right ML framing of product problems.
Conduct exploratory data analysis, deeply understand the domain, and select appropriate algorithms and tools.
Build and evaluate prototypes offline, collaborating with product and design teams to translate insights into measurable impact.
Ship prototypes to production with ML product engineers, and iterate based on evaluation results.
Communicate findings clearly to cross-functional teams and drive data-informed product improvements.
Contribute to the ML roadmap, mentor teammates, and stay at the cutting edge in NLP, DL, Bayesian methods, RL, and clustering.

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