PulsePoint is a fast-growing AdTech company using real-time data to transform healthcare. We help brands and agencies interpret the hard-to-read signals across their customers' health journey to produce the most complete view of the customer. Our award-winning platforms use machine learning to activate this data, enabling easy, instantaneous marketing, predictive analytics, and decision support.
Requirements
- Python experience, experience with basic data manipulation packages like numpy and pandas, solid SQL skills, and understanding TDD principles.
- Experience developing, delivering, and supporting AI and ML algorithms or technologies (e.g. LLM Inference, Embeddings, and VectorDBs, ranking algorithms, and time series analysis).
- Experience with k8s, as we are mostly self-hosted.
- Java & Python proficiency.
Responsibilities
- Design, develop, and maintain LLM-based AI components to improve the efficiency of internal teams and user-facing communications, spanning from data retrieval to chat interfaces.
- Experiment and evaluate new frameworks, models, and architectures emerging in the area.
- Improve the underlying data infrastructure to address the challenges posed by LLM usage.
- Partner with cross-functional teams of analysts, software engineers, and user-facing departments to identify relevant use cases and design appropriate solutions.
- Contribute to the technical vision for the foundation of generative AI systems in PulsePoint.
- Evaluates, selects, and optimizes ad-serving based on advanced statistics and machine learning.
- Returns responses collected from dozens of parties in milliseconds.
Other
- Independence, initiative, commitment, and responsibility to what you have tamed.
- Excellent problem-solving and critical thinking: you will need to figure out your own mistakes, and sometimes not just yours, especially in such a new field.
- Note that we are not hiring in the U.S. for this role.
