Fox Corporation is a leading media company known for its diverse range of content across various platforms. They are seeking a Machine Learning Engineer to participate in a rotational program, contributing to production ML systems that support streaming, sports, and news operations.
Responsibilities
- Rotate across two ML-focused teams embedded within operating business units
- Build, train, evaluate, and deploy production machine learning models
- Work with large-scale, real-world datasets and live data streams
- Integrate models into consumer-facing and enterprise systems
- Monitor performance, detect drift, and iterate based on measurable outcomes
- Operate under real constraints around latency, reliability, and scale
Skills
- Strong foundations in machine learning, statistics, or applied data science
- Experience building and evaluating models through coursework, research, projects, internships
- Proficiency in Python and common ML frameworks
- Demonstrated use of AI-assisted tools to accelerate ML workflows
- Ability to explain how you validated model quality using metrics, bias checks, reproducibility controls
- Curiosity about how models behave in production environments
- Bias toward experimentation and measurable outcomes
- Experience deploying models into production systems
- Exposure to recommendation systems, ranking, or personalization
- Familiarity with data pipelines or distributed systems
Benefits
- Medical/dental/vision, insurance
- A 401(k) plan
- Paid time off
- Other benefits in accordance with applicable plan documents
Company Overview
- 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. It was founded in 1986, and is headquartered in New York, New York, USA, with a workforce of 5001-10000 employees. Its website is https://www.foxcorporation.com/.
Company H1B Sponsorship
- Fox Corporation has a track record of offering H1B sponsorships, with 1 in 2025, 1 in 2024, 1 in 2023, 2 in 2022. Please note that this does not guarantee sponsorship for this specific role.