Senior Member Technical Staff

Role Overview:
As a Lead Data Science Engineer on the Gracenote Media team, you will be responsible for
defining the AI/ML strategy, overseeing large-scale data science projects, and leading teams to
build cutting-edge machine learning solutions that scale content understanding and generation,
entity linkage, and more to achieve the scale that matches our customer’s demands.

Key Responsibilities:
● Define and execute the AI/ML strategy for content generation (Gen-AI), entity linkage
and matching, image processing, and content understanding.
● Lead the development of next-generation content generation systems using Large
Language Models (LLMs)
● Architect scalable data platforms to support real-time and batch processing of media-rich
datasets.
● Own the Data Quality of the deliverables and ensure the consistent performance of the
models and its output quality.
● Define and implement standards for the organization that match industry best practices.
● Collaborate with product, engineering, and business teams to drive AI-powered
innovation.

● Improve computer vision models for automated content tagging, video summarization,
and understanding.
● Oversee MLOps infrastructure to ensure robust deployment and monitoring of ML
models.
● Stay ahead of emerging trends in AI, deep learning, and media tech, integrating new
research into practical applications.
● Mentor and grow a team of data scientists and engineers.

Required Skills:
● Expert-level proficiency in Python, SQL, and big data tools (Spark, Kafka, Airflow).
● Extensive experience in deep learning, reinforcement learning, NLP, and computer
vision.
● Experience in large-scale machine learning model deployment and optimization.
● Proven leadership skills in building and scaling data science teams.
● Experience with Kubernetes, Docker, and cloud AI services.