Senior Machine Learning Scientist at Whatnot | Torre
Senior Machine Learning Scientist
Whatnot
Whatnot

Senior Machine Learning Scientist

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Full-time
Compensation
USD2K - 20K/year
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Remote (anywhere)
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Posted about 2 years ago

Responsibilities & more

Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, whether working remotely or from one of our offices. We are building a team that has experience from top tech, retail and payments platforms in the world. We’re innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. We are looking for intellectually curious, highly motivated individuals to be foundational members of our Machine Learning and Data Platform team. You will partner across the company and use data to design scalable solutions based on a deep understanding of critical business goals. The ideal candidate will leverage data analysis, statistics and machine learning to lead initiatives end to end, including data & machine learning engineering. Responsibilities: - Build and help set direction across the entire machine learning development process to implement machine learning algorithms in production, including exploratory data analysis, data modeling, feature engineering, model training and tuning, testing, deployment, and monitoring. - Partner closely across the business to identify improvements and influence decisions using data science methodologies and tools. - Develop new production machine learning algorithms and systems that enrich the app experience with machine learning-powered experiences. - Contribute across the data science and machine learning development stack: idea development, opportunity sizing, prototyping, testing, and deployment. - Design and implement end-to-end data pipelines and data systems that support MLOps and business processes. - Build high quality communication devices such as dashboards, notebooks, documents, presentations to convey insights across a broad audience. - Define and advance standard methodologies within an experiment-driven culture.
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