Machine Learning Engineer

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About the role Reporting to the CTO, you are an exceptional software engineer who is able to build bespoke technical solutions and partner with machine learning teams to develop Chalk’s proprietary infrastructure. You will work with customers of Chalk to build efficient feature pipelines for problems in healthcare, finance, and recommendation systems. This role will give you a unique opportunity to work closely with customers, gathering requirements and engineering feature pipelines that support use-cases like cancer detection, fraud prevention, and product recommendation. This is your opportunity to join us in-person as an early employee and make a significant impact at a high growth start-up. What you will do Write code to implement Chalk technology for Chalk customers and prospects. You will become familiar with Chalk infrastructure and find the best way to integrate and implement them in different environments Work closely with our Engineering and Sales teams Act as the the primary technical point of contact pre-sales and post-sales (when we are onboarding a new customer or supporting an existing one) Recommend new products to customers as their business evolves Help interview and grow the Engineering team What we’re looking for Technical background including experience writing software, working as a data scientist, or building ML models 2+ years experience of professional backend software engineering experience Proficient in Python, SQL Ability to collaborate effectively in teams of technical and non-technical individuals Excellent written and verbal communication, problem-solving, storytelling, and analytical skills Experience working closely with sales teams and customers is a plus. Bonus points Previous experience working with ML/data products or services Understanding of Machine Learning Ops/Infrastructure Previous experience as a forward-deployed engineer in a high-growth startup focusing on Machine Learning Inclusivity Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support.

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