About the role
PulsePoint is hiring a Machine Learning Engineer to improve targeting and optimization across its healthcare advertising platform. The company combines digital health signals with real-world data to help brands and agencies understand customer journeys. Its systems process millions of transactions per second, and the role also supports rapid prototyping with internal health experts.
The work centers on classical machine learning, contextualization, recommendation engines, and campaign buying efficiency. Candidates should bring at least five years of experience in machine learning, data science, or statistical research, strong Python and classical ML skills, and basic neural network knowledge. Adtech experience with bids, auctions, or conversion rates is a plus. The position is remote, with official employment in the EU, UK, or US open to negotiation.
Highlights
- Optimize health condition targeting and recommendation systems.
- Improve campaign delivery, budget control, and cost efficiency.
- Apply Python and classical ML to high-volume transaction data.
- Remote role; advertised salary is up to $150k.
This recap is dataskew's editorial summary, not the company's copy.