Senior Data Scientist, Generative AI

Luminate is the entertainment industry’s preeminent data and insights partner,

serving as the single source of truth for record labels, film studios, talent

agencies, and every part of the music and entertainment ecosystem. By

aggregating data from over 500 verified sources, Luminate provides customers

with the objective validation needed to make critical business decisions and

track global market share. While its data famously fuels the Billboard Charts

and the Variety Streaming Originals Charts, Luminate’s primary mission is to

empower the entertainment industry with essential, accurate and objective data.

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).
• What makes us shine:
• * Our People! We are music fans and gamers, film buffs and social scrollers,
• technologists and subject matter experts, scientists and developers and
• analysts who take immense pleasure in making sense of the data that drives
• entertainment, so everyone can get paid and more art can be made. That’s why
• we do what we do.
• * 100% paid for Medical / Dental / Vision Insurance, 401K with matching, and
• Employee Assistance Program (EAP)
• * Hybrid Work - 4 In-Office Working days (Monday, Tuesdays, Wednesdays,
• Thursdays) with flexibility to WFH when needed
• * Flexible Time Away / Time Off - You are empowered to do the things you enjoy
• outside of work too
• * Community! - Participate, create, or develop our employee clubs, affinity
• groups and 2% Volunteer initiative which allows you to take paid time off to
• volunteer within your community
• * Family Planning Assistance and Parental leave for all partners
• * LGBTQ+ medical benefits and more!
• After submitting your application, you will receive a verification email. Please
• complete this verification to proceed with submitting your resume.
• For candidates based in NYC: A good faith estimate of the salary range is $225k
• - $240k + bonus upon hire. We consider your skills and experience, what similar
• jobs pay at companies of our size, and ensure fair pay among colleagues. Final
• base salary offer amounts are determined by factors including your experience,
• skills, and expertise. In addition we are proud to offer additional perks and
• benefits that contribute and complete our total compensation package. Luminate
• reserves the right to change our compensation bands at any time.
• Additionally, 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.
• PMC is committed to the health and wellness of our employees. As part of our
• company-wide rollout of PMC’s paid healthcare plan, for this role the company
• pays 100% of the monthly health, dental and vision plan premiums for the
• employee and their family. Details of participation in these benefit plans will
• be provided if an employee receives an offer of employment.
• More About Us: Luminate has incredible 30 year history that has made us who we
• are today. We power the Billboard Charts, but we also inform the entire music
• industry with exclusive research, data and insights. We serve the television and
• film industry, providing deep meta-data on every major production and title.
• Luminate is an equal opportunity employer, and all qualified applicants will
• receive consideration for employment without regard to race, color, religion,
• age, sex, national origin, disability status, genetics, protected veteran
• status, sexual orientation, gender identity or expression, or any other
• characteristic protected by federal, state or local laws.