About the role
PulsePoint operates at the intersection of healthcare and adtech, helping brands and agencies interpret signals across the health journey and unify them with real-world data. Now a 300+ person, post-acquisition business and a leading player in the US healthcare ad market, the company is hiring a Senior Machine Learning Engineer to optimize and validate targeting mechanisms for specific health conditions and to improve its proprietary contextualization and recommendation engines, which handle millions of transactions per second and trillions each month.
The role also involves improving the buying platform for cost efficiency and campaign delivery, plus collaborating with internal health experts on rapid prototyping for commercialization. Candidates need 5+ years in machine learning, data science, or statistical research, advanced Python and classical ML skills, and at least basic neural network knowledge. Adtech experience with bids, auctions, and.
Highlights
- Remote work with official employment negotiable in the EU, UK, or US
- Salary up to $150k, with higher figures open to negotiation
- High-scale systems processing trillions of transactions per month
- Direct collaboration with health domain experts on commercialization prototypes
This recap is dataskew's editorial summary, not the company's copy.