Software Engineer Machine Learning

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 support initiatives end to end with software, data & machine learning engineering. What you'll do: Partner closely across the machine learning, platform, and product engineering teams to train models to solve product problems and productionize data science and machine learning artifacts. Contribute scalable solutions across various serving stacks at the machine learning service and application layers. Build and help set direction for ML infrastructure, such as feature construction patterns, data and model monitoring, online & offline scoring systems, and model usage patterns. Develop high quality communication devices such as dashboards, notebooks, documents, and presentations to convey insights across a broad audience. Define and advance our technical approach to scalable machine learning.

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, and as a remote-first team, we operate out of hubs within the US, Canada, UK, Ireland, and Germany today. We're innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others. And, we're growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we're hiring forward-thinking problem solvers across all functional areas.