TL;DR

Senior Data Scientist (Generative AI): Designing, building, and deploying robust, scalable machine learning models for core product features, with an accent on end-to-end implementation of AI/ML systems and data quality. Focus on leveraging deep knowledge of LLMs, transformer architecture, and advanced prompt engineering to impact Music and Film & TV products.

Location: Hybrid (New York City, NY). Applicants must be authorized to work for any employer in the U.S.

Salary: $175,000–$200,000 USD (NYC candidates)

Company

%hirify_global% is a preeminent entertainment data and insights company, providing essential, objective, and trustworthy data for the music and film & TV industries.

What you will do

Design, build, and deploy robust, scalable machine learning models that power core product features.
Take full ownership of the model development process, including data sourcing, feature engineering, training, validation, testing, and deployment.
Design and implement monitoring, logging, and alerting to ensure model performance, reliability, and health in a live environment.
Collaborate with Product, Engineering, and Design teams to define possibilities and stay on the bleeding edge of AI tools and techniques.
Champion and implement best practices for AI/MLOps, including model versioning, automated training pipelines, and CI/CD for machine learning.

Requirements

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.
Deep, foundational knowledge of how LLMs work, including transformer architecture, attention mechanisms, 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.
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.

Nice to have

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).

Culture & Benefits

100% paid Medical, Dental, and Vision Insurance, 401K with matching, and Employee Assistance Program (EAP).
Hybrid work with 4 in-office working days (Monday-Thursday) and flexibility to work from home when needed.
Flexible Time Away / Time Off policy, empowering you to enjoy activities outside of work.
Opportunities to participate in, create, or develop employee clubs, affinity groups, and a 2% Volunteer initiative.
Family Planning Assistance and Parental leave for all partners, plus LGBTQ+ medical benefits.