Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (Generative AI): Designing, building, and deploying robust, scalable machine learning models for core product features in the entertainment data and insights domain with an accent on end-to-end implementation of AI/ML systems and data quality. Focus on leveraging deep knowledge of LLMs, transformer architecture, RAG, and prompt engineering, while championing MLOps best practices and evaluating bleeding-edge AI techniques.

Location: Hybrid in New York City, NY. 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.

Salary: $225,000–$240,000 + bonus upon hire.

Company

hirify.global is the preeminent entertainment data and insights company, unlocking access to objective, trustworthy data compiled from thousands of verified sources 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, writing production-quality code.
• Take full ownership of the model development process, including data sourcing, feature engineering, model training, validation, testing, and deployment.
• 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, evaluating new AI tools, papers, 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.
• Possess an intuitive feel for writing elegant, efficient, and effective code and thrive in a fast-paced, experimental environment.

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 / Vision Insurance for the employee and their family.
• 401K with matching and Employee Assistance Program (EAP).
• Hybrid Work (4 in-office days) with flexibility for remote work when needed.
• Flexible Time Away / Time Off policy.
• Opportunities to participate in employee clubs, affinity groups, and a 2% Volunteer initiative.
• Family Planning Assistance, Parental leave for all partners, and LGBTQ+ medical benefits.