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 #Ll-KD1 #Ll-Hybrid Learn more about Fox Tech at #foxtech 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. We will consider for employment qualified applicants with criminal histories consistent with applicable law. 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. View more detail about FOX Benefits. We’re disruptors. We’re big dreamers. We’re believers in the future, in possibility, in potential. We’re reinventing the world, every day. We create content for audiences big and small, global and local. We put our audiences first, and work hard to bring them stories they’ll love, wherever they are and however they watch, listen and learn. Whatever your discipline, from on-air talent to behind-the-scenes tech guru to business and finance, the career opportunities at FOX are exciting, rewarding and game-changing. We seek out the most talented individuals – the dreamers, the disruptors and the visionaries –and we want them to know that they matter. We’re committed to helping every single one of our employees feel valued and inspired, every day.