✦ Luna Orbit — AI & Machine Learning

Lead Data Scientist, Content Intelligence

at Walt Disney

📍 Glendale, United States Onsite 💰 $155K – $208K USD / year Posted April 04, 2026
Salary $155K – $208K USD / year
Type Full-Time
Experience lead
Exp. Years 7+ years
Education Bachelor's in Computer Science, Data Science, or related field
Category AI & Machine Learning

Senior Lead Data Scientist for Content Intelligence, building AI/ML solutions to understand media and enable rapid experimentation and production deployment.

  • Collaborate with cross-functional teams
  • Conceptualize AI/ML solutions
  • Develop evaluation metrics
  • Bridge experimentation and production
  • Establish best practices

Hands-on ML role with deep learning, LLMs, PEFT (LoRA/QLoRA), vector embeddings; cloud deployment (SageMaker/Bedrock/AWS) and data science tooling (Python, PyTorch, Databricks).

The ideal candidate is a senior data scientist with 7+ years of experience in AI/ML, deep learning, and production ML systems; expert in PyTorch, LLM prompting, and PEFT techniques, with media/entertainment domain interest.

Bachelor's in Computer ScienceData Scienceor related fieldAt least 7 years of relevant industry experience in data scienceProficient in PythonExperience with PyTorch or major DL frameworkExperience with LLM prompting and fine-tuningCloud platforms experience (AWS S3BedrockSageMaker or Databricks)
MS or PhD in CS/Data ScienceExperience in media/entertainment techVLM/LLM model distillationPEFT techniquesGenerative AI for media understanding
AWS S3BedrockEC2SageMakerDatabricks
Bachelor's in CS/DS7+ years data sciencePythonPyTorchLLM promptingfine-tuningPEFTcloud platforms
PythonPandasNumPyscikit-learnPyTorchLLM promptingfine-tuningLoRAQLoRAprompt engineeringvector embeddingsSageMakerAmazon Web ServicesBedrockDatabricksAWS S3QuantizationPEFTPyTorch
strong communicationcross-functional collaborationpresentationsystems thinking
Industry Media
Job Function Develop and deploy AI/ML techniques to understand media content at scale
Role Subtype ML Engineer
Tech Domains Python, PyTorch, Amazon Web Services, SageMaker, Bedrock, Databricks, LLM prompting, LoRA, Vector embeddings, Quantization
Lead Data ScientistContent Platforms & OperationsDisneyAI/MLprompt engineeringPEFTLoRAQLoRALLM promptingVector embeddingsGANsproductioninferencePyTorchSageMakerBedrockAmazon Web ServicesDatabricksPythonPandasNumPyscikit-learnVLMevaluation metricslead data scientistllm promptingpeftloraqLoRApytorchsagemakerbedrockaws s3

Bachelor's degree required, 7+ years of relevant experience, Hands-on DL framework experience (PyTorch)

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