About the role

What we’re doing is super complex, both in terms of business context and the tech required. It requires understanding the intricacies of health insurance rules, archaic healthcare systems, and what makes experiences effective for patients, providers, and pharmacies. As an AI Research Engineer, you'll help determine how we use LLMs and other ML approaches to solve the problems we face and build the foundation of our platform.

This role will require you to develop a deep understanding of our product needs and feel comfortable operating independently. You’ll lead the exploration and product integration of both best-in-class and emerging AI methods, owning large parts of our automation roadmap. That said, we are big believers in collaborative problem solving – while you will be responsible for delivering on key features, you will work together with the rest of the early team to build context and make decisions.

We know that the products and services we build and the reach they have, and therefore our chance of making a difference, will be better when we have more diverse perspectives. This is especially important in healthcare, where the problems affect everyone differently and disproportionately impact people in underserved communities. We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.

If you join, you will:

• Become deeply familiar with the world of medication access, ranging from how health insurance claims work to how pharmacies deal with out-of-stock issues

• Collaborate with the rest of our tech team and CEO to define our roadmap as we balance supporting patients with building a long-term profitable business

• Scope and spearhead AI projects across our product surface area (including unintuitive classifications, search and summarization, and precise content generation) – this means:

  • Identifying areas of opportunity for AI augmentation and automation

  • Driving decisions around which models and techniques we use (including where and when we use custom models)

  • Establishing research strategies for various AI methods, including experimentation and evaluation protocols that control for both accuracy and consistency

  • Prototyping and productionizing AI functionality and agents, incorporating real-world feedback to refine them

• Work with the rest of our early tech team to design and build a platform that can successfully:

  • Support patients in filling and managing their prescriptions

  • Source clinical and insurance data we need to do our work

  • Reduce administrative burden on providers so they can focus on clinical decisions

  • Help our internal teams process prescriptions and insurance work efficiently

We’ll be most excited if you:

• Have experience working full-time in AI/ML engineering roles

• Have experience with LLMs and a track record of applying AI/ML techniques to solve complex, unstructured problems

• Know how to operate independently when dealing with ambiguous problems

• Are pragmatic and can see the bigger picture

• Are high output and bias towards action

• Are excited to be a part of our mission! We’re deeply invested in what we’re working towards, and we want you to be, too.

P.S. This is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying!