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FOX Tech Logo

Senior ML Engineer

FOX Tech

$160,000 - $180,000
Jan 2, 2026
Los Angeles, CA, US
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Fox Corporation is seeking to develop and deploy cutting-edge Large Language Models (LLMs) and Generative AI systems to power next-generation AI applications across FOX platforms.

Requirements

  • Proven experience developing and deploying machine learning models in production, with a focus on LLMs or generative AI
  • Deep understanding of transformer architectures and techniques for fine-tuning and prompt engineering
  • Strong proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX
  • Experience building agentic systems, including tool use, function calling, and multi-step reasoning
  • Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) techniques
  • Hands-on experience with cloud platforms and ML infrastructure (e.g., AWS, GCP, Azure, or Databricks)
  • Solid software engineering skills, including version control, CI/CD, and system design

Responsibilities

  • Develop and fine-tune Large Language Models (LLMs) and foundational models to meet specific product and business goals
  • Design and implement scalable machine learning pipelines for training, fine-tuning, and deploying LLMs
  • Build and optimize agentic workflows, enabling LLMs to interface with external tools, APIs, and environments
  • Collaborate with cross-functional teams including data scientists, engineers, and product leaders to embed AI capabilities into FOX applications
  • Continuously evaluate and improve model performance, reliability, and efficiency in real-world use cases
  • Conduct rigorous testing, validation, and monitoring of deployed models in production environments
  • Develop best practices, documentation, and internal tooling to support ongoing innovation and scalability

Other

  • Strong interest in sports, with a genuine enthusiasm for sports culture and content
  • Ability to communicate complex technical concepts clearly to both technical and non-technical audiences
  • A collaborative mindset and ability to thrive in a fast-paced, cross-functional environment
  • We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law.
  • Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.