Data scientist role focusing on GenAI at Fidelity. Leading machine learning projects and collaborating with business and technology partners to deliver impactful solutions.
About the role
- 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
- Generous PTO 🏖️
- 401k with match 💰
- Citibike membership 🚲
- Unlimited dietitian care 🍓
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
AI Engineer developing Python - based applications for healthcare technology company. Collaborating with data scientists on AI development lifecycle and deploying solutions with large datasets.
AI Engineer implementing AI solutions integrating services like Azure AI at Symplifyr. Collaborating with technical and business teams on practical, robust AI - driven solutions.
Senior Software Developer focused on AI platforms at Genetec, enhancing physical security solutions through scalable inference technologies. Join a diverse, growing team committed to innovation.
Senior AI Engineer delivering AI - powered products for Capital One, enhancing banking services with advanced AI solutions. Collaborating with cross - functional teams on innovative AI and ML projects.
Applied AI Developer responsible for AI tool development and integration at Delta Controls. Focus on enhancing operational efficiency and supporting various business functions through AI technologies.
Gen AI Engineer focusing on application design and development for cloud platforms. Candidates with AWS or Azure experience are encouraged to apply.
Gen AI Engineer focusing on the design and development of Gen AI applications on cloud platforms. Seeking candidates with experience in data science and programming.
Staff AI Engineer creating scalable AI functionality for WEX. Collaborating with engineering teams to integrate AI components and maintain ML pipelines.
Customer AI architect role transforming enterprise needs into AI solutions while collaborating with customers and internal teams. Leadership role in developer complex applications leveraging AI technology.