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TiVo is seeking an Applied LLM Engineer to join our Personalized Content Discovery Data Science team. This position focuses on building and integrating large language model (LLM)-based solutions into internal tools and customer-facing applications. The role involves, experimenting with and prototyping generative AI model applications, designing robust prompts, managing prompts, and integrating with LLM services via APIs. Our data science team works on research and development for several TiVo products:
Search and Recommendation (Video/Music Content Recommendation System),
Insight (Data Analytics)
Conversation (Voice Entertainment Assistant)
Video and Music Metadata (Textual, Image, Quantitative)
On our team you can expect to work with a variety of data sources and customer solutions across the entertainment and product engineering domain. Our mission is to help our customers find, watch, and enjoy their favorite content.
Responsibilities
Design, test, and refine prompts for LLM-based applications
Conduct data analysis and model evaluation to track performance across use cases
Integrate LLM and GenAI APIs (e.g., OpenAI, AWS) into internal products
Develop lightweight backend services (e.g., FastAPI) to prototype model usage
Document systems and experiments clearly
Preferred Experience
Familiarity with basic data engineering tools with emphasis on pyspark
Knowledge of vector search and retrieval techniques
Solid data science and statistical background
Requirements
M.S. degree in Computer Science, Data Science, Engineering, or a related technical field or equivalent hands-on experience in AI/ML engineering
Experience with LLM APIs, prompt engineering, and experimentation
Familiarity with AWS cloud services
Comfort working with API integration and multi-modal data (text, JSON, metadata)
Ability to run and evaluate open-source models both locally and in the cloud
Strong communication and presentation skills to share findings across teams
Life @ Xperi: