Lead AI Engineer designing AI systems to enhance Berry Street’s evidence-based nutrition therapy platform. Combining data science and machine learning for personalized and effective care delivery.
Responsibilities
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
Requirements
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.
Benefits
This role has the option to be in-person/hybrid in NYC, or fully remote depending on candidate location
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
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