Berry Street is a business-in-a-box platform enabling registered dietitians to start and scale private practices that accept health insurance. We provide all of the software needed to run a thriving practice + administrative services like insurance contracting, eligibility verification, customer support, claims billing, and even patient acquisition.

The Opportunity:

Americans' poor nutrition is killing us (and costing us billions).

• 3/4 are overweight
• 1/2 are obese
• 1/2 have 1+ chronic disease caused by poor nutrition
• 1 in 10 will have an eating disorder in their lifetime (binge eating, anorexia, bulimia, etc.)

Nutrition therapy is both clinically proven to make a difference and most commercial health insurance plans cover it at $0 out-of-pocket.

We’re on a mission to fundamentally heal America’s relationship with food. Berry Street empowers registered dietitians to launch and grow in-network private practices. We’re creating game-changing technology to build America’s largest dietitian network and ensure that anyone can access the help they need.

Since launching in January 2023, Berry Street has raised capital from top VCs like Village Global and angel investors like the founders of Elemy and Grow Therapy.

About the Role

As a product engineer focused on leveraging AI at Berry Street, you will play a pivotal role in developing advanced LLM-driven features that enhance user experience and optimize our offerings. You will work cross-functionally to evaluate opportunities, validate their impact at the organization, and build innovative solutions that support our patients, providers, and internal staff.

What you'll do

• Zero-to-one feature development: Prove out AI feature ideas, iterate on them and integrate them into the product when they’re ready for prime time.
• Data curation and processing: Design the workflows and processes for gathering and storing data for model training.
• Model evaluation: Rigorously evaluate the performance of your work using whatever method is appropriate, from human preferences/labels to synthetic ground truth.
• Technical leadership: In this role you’ll have others looking to you for guidance on AI best practices and, more specifically, how to work with LLMs effectively.