The Team:

We are looking for a Senior Data Scientist, Generative AI to join our Data team in New York City, NY. Your role will include a combination of developing models and tools to be deployed into production systems and defining frameworks to measure and improve data quality standards. This is an IC position but will require you to collaborate with the Data team as well as with various technical and nontechnical team across our organization. Your work will directly impact the future of our Music and Film & TV products.

**Responsibilities: **

• Design, build, and deploy robust, scalable machine learning models that power core product features. You will write production-quality code and be responsible for the end-to-end implementation of AI/ML systems.
• Take full ownership of the model development process, including data sourcing and feature engineering, model training and validation, testing, and deployment.
• You will design and implement monitoring, logging, and alerting to ensure model performance, reliability, and health in a live environment.
• Collaborate closely with Product, Engineering, and Design teams to define the art of the possible. You'll stay on the absolute bleeding edge of AI, evaluating new tools, papers, and techniques to keep our products ahead of the curve.
• Champion and implement best practices for AI/MLOps, including model versioning, automated training pipelines, and CI/CD for machine learning, to improve the velocity and quality of our AI development.

Qualifications:

• An advanced degree (MS or Ph.D.) in Computer Science, Engineering, Statistics, or a related field, or equivalent practical experience.
• 5+ years of professional experience focused on building and shipping production-level AI/ML systems.
• Have a deep, foundational knowledge of how LLMs work. Can speak confidently about transformer architecture, attention mechanisms, and the principles behind RAG, fine-tuning, and advanced prompt engineering.
• Expert-level proficiency in Python and its ecosystem and deep experience with AI/ML frameworks (such as LangChain, ai, and PyTorch).
• Hands-on experience deploying and managing models in a major cloud environment (AWS preferred), coupled with deep familiarity with modern data platforms like Snowflake.
• Possess an intuitive feel for writing elegant, efficient, and effective code. You thrive in a fast-paced, experimental environment where you can quickly bring ideas to life.

Preferred Qualifications:

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