Luminate, an entertainment data and insights company, is seeking a Senior Data Scientist, Generative AI to develop models and tools for their Music and Film & TV products, aiming to stay at the forefront of AI innovation in the entertainment industry.
Requirements
- 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.
- Experience building autonomous AI agents or multi-agent systems.
Responsibilities
- Design, build, and deploy robust, scalable machine learning models that power core product features.
- Write production-quality code and be responsible for the end-to-end implementation of AI/ML systems.
- 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.
- 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.
- Take full ownership of the model development process, including data sourcing and feature engineering, model training and validation, testing, and deployment.
Other
- An advanced degree (MS or Ph.D.) in Computer Science, Engineering, Statistics, or a related field, or equivalent practical experience.
- You thrive in a fast-paced, experimental environment where you can quickly bring ideas to life.
- Hybrid Work - 4 In-Office Working days (Monday, Tuesdays, Wednesdays, Thursdays) with flexibility to WFH when needed
- Applicants must be authorized to work for any employer in the U.S.
- We are unable to sponsor or take over sponsorship of an employment Visa at this time.
