Alto Pharmacy is a full-service, digitally-powered pharmacy that makes it simple to live your healthiest life by providing an easier, more supportive and more affordable pharmacy experience. We’re redefining what a pharmacy can do, with fast and reliable prescription delivery, tools like treatment reminders and medication bundling, direct access to care specialists, and support with insurance and cost savings. By focusing on the person behind the prescription, our model boosts adherence, improves health outcomes, and keeps our customers returning month after month. Learn more at www.alto.com.
As a Machine Learning Engineer at Alto Pharmacy, you will play a pivotal role in designing, developing, and deploying ML models that drive our business forward. You will collaborate with cross-functional teams, including product, engineering, data science, and operations, to integrate ML solutions into our products and services. Your expertise will help us harness the power of data to improve patient outcomes, optimize operations, and enhance the overall pharmacy experience.
Alto is actively seeking candidates who are interested in solving challenging problems using latest developments in Large Language Models and Artificial Intelligence (AI). We are looking for a talented AI and Machine Learning (ML) engineer with a solid background in the design and development of scalable AI and ML systems and services, deep passion for building ML-powered products, a proven track record of executing complex projects, and delivering high business and customer impact. Your contributions will be instrumental to tackle staffing challenges within Alto’s pharmacies.
This role will provide exposure to state-of-the-art innovations in AI/ML systems (including GenAI). Technologies you will have exposure to, and/or will work with, include a SageMaker, and Foundational Models such as Anthropic’s Claude / Mistral, among others.
The types of initiatives you can expect to work but not limited to include:
- Developing personalized recommendation systems.
- Building AI Assistant tools that have cross-company user adoption.
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