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LuminateLuminateNew York, NY

Senior Data Scientist, Generative AI

Develops and deploys scalable generative AI/ML models for entertainment data products, owning end-to-end lifecycle from data sourcing to production monitoring. Requires 5+ years experience, MS/PhD, deep LLM expertise, Python/PyTorch proficiency, and AWS deployment skills.

225k – 240k/yr
Hybrid5+ YOEML Engineering

About the role

Responsibilities

  • Design, build, and deploy robust, scalable machine learning models that power core product features. 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.
  • 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. Stay on the bleeding edge of AI, evaluating new tools, papers, and techniques.
  • Champion and implement best practices for AI/MLOps, including model versioning, automated training pipelines, and CI/CD for machine learning.

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.
  • Deep, foundational knowledge of how LLMs work, including transformer architecture, attention mechanisms, 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. Thrive in a fast-paced, experimental environment.

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).

Compensation

  • Salary range: $225k - $240k + bonus
  • 100% paid Medical / Dental / Vision Insurance, 401K with matching, Employee Assistance Program (EAP), Family Planning Assistance, Parental leave, LGBTQ+ medical benefits.

Skills

PythonPyTorchLangChainAWSSnowflakeLLMsRAGFine-TuningPrompt EngineeringMLOpsTransformersAttention MechanismsCI/CDMachine LearningFeature Engineering

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