Machine Learning Engineer I

Fox • New York, NY

10d • Hybrid

About The Position

FOX Forward Deployed is a 12-month rotational program designed to embed early-career machine learning engineers within teams that power FOX’s major, high-viewership moments. Participants will undertake two six-month deployments across AI-focused teams that support streaming, sports, news, monetization, and enterprise data systems. The role involves direct contribution to production ML systems operating at a national scale, emphasizing practical application rather than pure research. Models must be shipped, and systems must be scalable. The program is structured around the principle of 'You Build It. America Sees It.'

Requirements

• 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
• Regular, on-site attendance at the workplace a minimum of 3 days per week is an essential function of the position. Selected candidate must be able to reliably meet this requirement.
• Participants are expected to operate as contributing ML engineers from day one.

Nice To Haves

• Experience deploying models into production systems
• Exposure to recommendation systems, ranking, or personalization
• Familiarity with data pipelines or distributed systems

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

Benefits

• medical/dental/vision
• insurance
• a 401(k) plan
• paid time off
• annual discretionary bonus

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed