Senior Machine Learning Engineer

PulsePoint is a fast-growing healthcare technology company (with adtech roots) using real-time data to transform healthcare. 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 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. Our pipeline processes over 80 billion impressions a day (> 20 TB of data, 200 TB uncompressed).
• 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.

Responsibilities

• Optimize real-time bidding strategies to efficiently spend ad budgets delivering campaign targets given various constraints.
• Support and enhance the existing work on health user profiling, prediction, and targeting tools.
• Improve page contextualizer technology: work with healthcare topics detection algorithms, keywords/phrases extraction, general and aspect-based sentiment analysis.
• Contribute on projects relating to patient/physician identity for cross-device tracking, profiling, and targeting.
• Support existing codebase for data integration and production support for our core models.

Requirements

• 3+ years of full-time experience working as a Statistician/Machine Learning Engineer/Data Scientist.
• Advanced knowledge of Python using the NumPy/SciPy/pandas/scikit-learn stack.
• Advanced knowledge of classical ML models (logistic regression, decision trees, boosting, bagging, SVM, Bayesian methods, etc.) and at least basic knowledge in different Neural Network models (CNN, RNN, auto-encoders, transformers).
• Being a confident user of Unix-like systems, Docker, git, bash.

What we offer

• Remote work. Relocation to EU/UK/US is negotiable (depends on your current location and legal status).
• Flexible schedule, 9 am-6 pm US EST working hours.
• Salary: 8-13k USD/month, higher figures may be negotiated.
• US holiday schedule.
• 21 days of vacation.