Senior Data Scientist, Generative AI (LLM/RAG)

TL;DR

Senior Data Scientist, Generative AI (LLM/RAG): Developing and deploying production-grade generative AI/ML models and tools for core product features with an accent on end-to-end model ownership, data quality frameworks, and live-environment monitoring. Focus on LLM transformer fundamentals, RAG and fine-tuning, and implementing AI/MLOps (model versioning, automated training pipelines, and CI/CD) to improve reliability and velocity.

Company

Entertainment data and insights company providing verified datasets and analytics for music and film/TV.

What you will do

• Design, build, and deploy robust, scalable machine learning models powering core product features using production-quality code.
• Own the full model lifecycle: data sourcing, feature engineering, training, validation, testing, and deployment.
• Implement monitoring, logging, and alerting to ensure model performance, reliability, and health in production.
• Collaborate with Product, Engineering, and Design to evaluate new AI tools, papers, and techniques and keep models state-of-the-art.
• Implement AI/MLOps best practices including model versioning, automated training pipelines, and ML CI/CD.

Requirements

• 5+ years of professional experience building and shipping production-level AI/ML systems.
• Advanced degree (MS or Ph.D.) in Computer Science, Engineering, Statistics, or related field, or equivalent practical experience.
• Deep foundational knowledge of how LLMs work, including transformer architecture, attention mechanisms, and principles behind RAG, fine-tuning, and prompt engineering.
• Expert proficiency in Python and experience with AI/ML frameworks such as LangChain and PyTorch.
• Hands-on experience deploying and managing models in a major cloud environment (AWS preferred) and familiarity with modern data platforms like Snowflake.
• Authorized to work for any employer in the U.S.; unable to sponsor or take over sponsorship of an employment visa.

Nice to have

• Experience building autonomous AI agents or multi-agent systems.
• Contributions to major open-source AI projects.
• Knowledge of model optimization techniques such as quantization or distillation.
• Experience with multi-modal models (text, image, audio).

Culture & Benefits

• Hybrid work: 4 in-office working days (Mon–Thu) with flexibility to work from home when needed.
• 100% paid Medical/Dental/Vision insurance, plus 401K with matching and an Employee Assistance Program (EAP).
• Flexible time off and paid community volunteering initiative (2% Volunteer).
• Family planning assistance and parental leave for all partners.
• LGBTQ+ medical benefits and additional wellness support.

Hiring process

• Submit application and complete a verification email step before proceeding with the resume submission.
• Interviews and evaluation of technical fit for production AI/ML and LLM/RAG work.

Location: New York City, NY

Salary: $175,000 - 200,000 (base salary range)