Senior Data Scientist, Generative AI

Posted 16 Days Ago
Be an Early Applicant
New York, NY
Hybrid
175K-200K
Senior level
Big Data • Digital Media • Music • Software • Analytics
We are Luminate - Unlocking entertainment's most essential data.
The Role
Develop, deploy, and maintain AI/ML models and tools for production systems, ensuring data quality and collaborating across teams.
Summary Generated by Built In

Are you an entertainment news junkie? Do you thrill your friends with tales torn from famous and obscure sources about artists and performers of every ilk? Are you a bit of a data-head who’s a little obsessed with entertainment charts, ranks, lists and stats? Do you knowingly smile to yourself as you watch a story’s blow-up path, from the feeds to the web to TV, all fueled by the public’s fascination with all things entertainment? And do you have an eye for fact-based stories and an understanding of the role data plays in their telling? If so, we'd like to talk! 

Luminate is the preeminent entertainment data and insights company, unlocking access to the most essential, objective, and trustworthy data compiled from thousands of verified data sources. The beneficiary of industry consolidation, Luminate now houses what was once Nielsen Music, BDS Radio, SoundScan, Music Connect, Alpha Data and Variety Business Intelligence.

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!

For candidates based in NYC: Our base salary range for this position is $175,000 - 200,000. 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.

#LI-Hybrid

Top Skills

AWS
Langchain
Python
PyTorch
Snowflake
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The Company
HQ: Los Angeles, CA
135 Employees
Year Founded: 2018

What We Do

We are Luminate, entertainment’s preeminent data, and insights company, unleashing access to the most essential, objective, and trustworthy information across music, film, and television.

Our work isn’t just powerful — it’s prescient. We’re rooted at the intersection of tech and media, in today’s challenges and tomorrow’s plans. Never losing sight of our client's needs, we deliver them essential guidance with the highest levels of quality and accuracy. But we always look ahead. We search for answers to questions no one has thought yet to ask. We pair exceptional technology with the most expansive and trusted database of its kind, consistently evolving, enabling our clients to make their most informed and impactful decisions. The result is a best-in-class level of predictive analytics, accompanied by expert, unbiased insight.

We are music lovers and enthusiastic gamers, passionate film buffs and social engages, scrolling online and tapping into the zeitgeist. We are technologists, experts across a myriad of subjects, scientists, and developers. We are curious. That’s why we do what we do.

Why Work With Us

Data is currency. It’s ubiquitous and in many spaces it’s commoditized, but not here. Luminate data speaks. It tells us what people love most and why. It shows us how we spend our precious time and how we live with technology. To us, it’s more than numbers and code. We love what we do because we love what it’s all about.

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