Machine Learning Engineer I

OVERVIEW OF THE COMPANY

Fox Corporation

Under the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.

JOB DESCRIPTION

We are seeking a Machine Learning Engineer I to join our growing team focused on building and deploying machine learning, Large Language Model, and Generative AI systems across FOX platforms.

In this role, you will contribute to production ML systems that support streaming, sports, news, monetization, enterprise data, and internal AI applications. You will work alongside senior engineers, data scientists, product leaders, and platform teams to build models, pipelines, and AI-powered workflows that operate at scale.

You will gain hands-on experience across the full machine learning lifecycle, including data preparation, model development, evaluation, deployment, monitoring, and iteration. This is an opportunity to apply strong ML fundamentals to real-world systems where model quality, latency, reliability, and measurable outcomes matter.

You will operate in an AI-native environment leveraging platforms such as AWS SageMaker and Bedrock, Google Vertex AI, Databricks, Snowflake, ChatGPT, Claude, and modern ML frameworks to accelerate experimentation and production delivery.

A SNAPSHOT OF YOUR RESPONSIBILITIES

Build, train, evaluate, and deploy machine learning models under the guidance of senior engineers

Support the development of ML pipelines for training, fine-tuning, deployment, and monitoring

Work with large-scale, real-world datasets across consumer, content, and enterprise systems

Contribute to LLM, Generative AI, retrieval, ranking, recommendation, and personalization use cases

Assist in building agentic workflows that allow AI systems to interact with tools, APIs, and internal platforms

Evaluate model performance using appropriate metrics, validation methods, and reproducibility practices

Monitor deployed models for quality, reliability, drift, latency, and business impact

Collaborate with cross-functional teams to integrate AI capabilities into FOX applications

Participate in code reviews, documentation, testing, and system design discussions

Stay current on emerging ML, Generative AI, and applied AI techniques

WHAT YOU WILL NEED

Strong foundation in machine learning, statistics, computer science, or applied data science

Experience building and evaluating ML models through coursework, research, internships, projects, or professional experience

Proficiency in Python and common ML frameworks such as PyTorch, TensorFlow, JAX, or scikit-learn

Familiarity with model evaluation, validation metrics, bias checks, and reproducibility practices

Exposure to LLMs, prompt engineering, embeddings, vector databases, or retrieval-augmented generation

Understanding of software engineering fundamentals, including version control, testing, and working with APIs

Demonstrated use of AI-assisted tools to accelerate technical workflows while validating outputs

Curiosity about how models behave in production environments

Ability to communicate technical concepts clearly to technical and non-technical audiences

Bias toward experimentation, measurable outcomes, and continuous learning

Collaborative mindset and ability to work in a fast-paced, cross-functional environment

NICE TO HAVE, BUT NOT A DEALBREAKER

Experience deploying models into production systems

Exposure to recommendation systems, ranking, personalization, or search

Familiarity with cloud platforms or ML infrastructure such as AWS, GCP, Azure, Databricks, or Snowflake

Experience with LLM orchestration frameworks, function calling, or tool use

Familiarity with data pipelines, distributed systems, or streaming data

Experience with multimodal models involving text, vision, audio, or video

Contributions to open-source projects, technical demos, research, or applied ML products

HOW WE EVALUATE BUILDERS

We evaluate builders by what they have created, tested, and learned from.

Candidates may be asked to:

Share an ML artifact such as a repository, demo, project, paper, or deployed system

Explain the problem the model or system was designed to solve

Describe the evaluation metrics chosen and why they mattered

Discuss one technical constraint, tradeoff, or failure mode

Explain how AI tools were used and how their outputs were verified

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Learn more about Fox Tech at https://tech.fox.com

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Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $74,000.00-130,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement. detail about FOX Benefits.