ML Engineer

tl;dr: Classic ML, post-acquisition health/adtech, remote, up to $150k, we can talk higher figures and EU/UK/US employment PulsePoint sits at the intersection of healthcare and adtech. We help brands and agencies interpret the hard-to-read signals across the health journey and unify these digital determinants of health with real-world data to produce the most dimensional view of the customer. We are 300+ and growing, post-acquisition business and one of the leading players in the US healthcare ad market. We are looking for a Senior Machine Learning Engineer , who will help us: Optimize and validate targeting mechanisms for specific health conditions. Improve and optimize our proprietary contextualization and recommendation engines that handle millions of transactions per second, trillions each month. Improve and optimize our buying platform to ensure cost efficiency and to deliver ad campaigns within budget, target, and time constraints. Collaborate with internal Health experts to design and support rapid assessment, analysis, and prototyping of ideas for achievable commercialization. Requirements: 5+ years of experience in Machine Learning/Data Science/Statistical Research. Advanced knowledge of Python, classical ML, pandas or similar tool, and at least basic knowledge in neural networks. Adtech or similar experience is highly desirable: bids, auctions, convertion rates, etc. We offer: Remote work, up to $150k salary, higher figures and official employment in EU/UK/US can be negotiated.