Berry Street is on a mission to transform how Americans eat through nutrition therapy. Berry Street’s platform connects individuals needing evidence-based nutrition care with an expansive network of Registered Dietitians and AI-powered tools. From weight management, diabetes, and heart health to kidney disease, maternal health, and 25+ other conditions, Berry Street’s clinical team delivers personalized nutrition interventions tailored to each patient's unique physiological and psychological needs, improving outcomes and reducing total cost of care. Berry Street works with some of the largest health plans, as well as leading health systems and innovative care management companies to serve diverse populations across all 50 states. Visit berrystreet.co to learn more.

Since launching in January 2023, Berry Street has grown to over 1,400 providers on our platform and served tens of thousands of patients nationwide. We’re a Series B company backed by leading investors like Northzone, Sofina, and FJ Labs, as well as notable angel investors including the founders of Revolut, Spring, Grow Therapy, and Tilly.

Why Join Us?

We’re a small, fast-moving team with a big mission. This role is demanding — it requires focus, urgency, and ownership — but it’s also highly rewarding. You’ll see the direct impact of your work every day, grow quickly, and play a key role in shaping the future of healthcare.

If you thrive in ambiguity, care about solving real problems (not just playing with tech), are product-obsessed and want to build something meaningful and lasting, you’ll fit right in.

About the Role

Berry Street’s providers conduct thousands of one-on-one sessions every month — conversations that capture a wealth of insight about what great care looks like, how patients progress, and how providers evolve. With hundreds of thousands of session transcripts, we’re now unlocking that information to better understand outcomes and personalize care at scale.

We’re hiring a Lead AI Engineer to design and own the systems that make this possible. You’ll combine data science, machine learning, and data engineering to turn unstructured text into meaningful, measurable insights. You’ll define the roadmap for how Berry Street builds scoring, predictive, and recommendation systems that help providers deliver more personalized and effective care.

This is a high-impact, hands-on leadership role for someone who thrives at the intersection of AI innovation and production engineering, bringing advanced models — from fine-tuned LLMs to recommendation systems — into real-world use.

What You'll Do

• Design and build end-to-end AI systems — from data ingestion and preprocessing to model training, deployment, and monitoring.
• Develop and refine predictive, scoring, and recommendation models that quantify session quality, track patient progress, and personalize care plans.
• Fine-tune and evaluate large language models (LLMs) to enhance provider and patient experiences through reliable, clinically safe interactions.
• Prototype and iterate rapidly on AI-powered product features, integrating stakeholder feedback to ensure measurable impact.
• Collaborate with engineering and product teams to scale ML infrastructure and ensure reliability, transparency, and observability.

We’d love to hear from you if you…

• Have 7+ years of experience in data science, ML engineering, or applied AI, with proven success taking models from prototype to production.
• Have strong grounding in machine learning fundamentals — feature design, validation, bias mitigation, and evaluation.
• Are fluent in Python and familiar with modern AI tooling (OpenAI, Hugging Face, LangChain).
• Have experience building recommendation or personalization systems using behavioral or text-based data.
• Are experienced with fine-tuning and evaluating LLMs, and understand their limitations, safety, and interpretability.
• Have worked with text or conversational datasets, ideally in healthcare, coaching, or behavioral settings.
• Are motivated by zero-to-one challenges — defining frameworks, building new systems, and driving measurable impact.

Our Tech Stack

• React & React Native
• Typescript
• Next.JS and Nest.JS
• TailwindCSS
• TypeORM
• PostgreSQL
• AWS

Our Interview Process

1. Initial Screen → Conversation with People & Talent to align on background and mission fit
2. Virtual Assessments → Technical + non-technical problem-solving with the engineering team
3. Onsite Final Round → In-person interviews with leadership and other members of the Berry Street team
4. References + Offer → Our favorite part: welcoming you to Berry Street 🎉

• The expected base pay range for this position is $225,000–$275,000, based on qualifications and experience
• Comprehensive health insurance plans, including dental and vision
• Spacious, light-filled Madison Square Park office ☀️
• Generous PTO 🏖️
• 401k with match 💰
• Citibike membership 🚲
• Unlimited dietitian care 🍓