Senior Machine Learning Engineer

at  SmithRx

WHO WE ARE:

SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country.

We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values:

• Integrity: Always operate with honesty and transparency so we earn the trust of our clients.
• Courage: Demonstrate the courage needed to take on a broken industry and continuously improve what we offer to optimize health outcomes.
• Together: Foster a collaborative and inclusive environment that values teamwork, respect, and open communication, and encourages creativity and diversity of thought.

JOB SUMMARY:

SmithRx is leading the transformation of pharmacy benefit management (PBM) with a cutting-edge platform that delivers real-time insights, cost efficiencies, and exceptional customer experiences. We are seeking an experienced Data Scientist with expertise in generative AI as we continue to expand. In this key role, you will drive AI innovation and lead the implementation of AI-powered solutions. The position requires at least 5 years of experience in machine learning and AI development, with proven success leading AI initiatives. You will work with cross-functional leaders to deliver impactful AI solutions that directly influence our business outcomes.
In order to be eligible for this position applicants must be based in one of the following states: Arkansas, Arizona, California, Colorado, Florida, Georgia, Kansas, Minnesota, Missouri, Nevada, Ohio, Pennsylvania, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin.

PREFERRED QUALIFICATIONS

• Experience with embedding model training and retrieval method evaluation approaches.
• Experience with LLM architectures, adapters, Mixture of Experts (MoEs) pretraining and fine-tuning techniques.
• Experience with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.
• Experience with reinforcement learning approaches in the context of fine-tuning LLM outputs.
• Experience with time series analysis and multivariate time series modeling.

WHAT YOU WILL DO:

As a member of the SmithRx Application Engineering and AI team, you will work customer facing as well as internal tooling that leverages AI to improve productivity and quality. You will work directly with software engineers, data engineers, product managers, and subject matter experts in the definition of new generative AI capabilities able to provide our members and internal organizations with the information they need to make proper decisions.
Qualified candidates will have an in-depth knowledge of the most common Large Language Models (LLMs) and Retrieval Methods, know how to train and fine-tune LLMs, and design and implement LLM-powered agents and tools at scale.

RESPONSIBILITIES

• Design Generative AI solutions, such as information retrieval and summary generation for support and operations organizations.
• Partner with Software Engineering teams to build and deploy GenAI applications.
• Ideate and explore opportunities to deploy GenAI technologies for customer-facing experiences
• Drive the adoption and scalability of Generative AI capabilities within SmithRx; advocacy on the technology and evangelize the use of GenAI.