Machine Learning Engineer I

FOX News Network, LLC$74K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong foundations in machine learning and statistics
  • Experience in model building and evaluation through coursework or internships
  • Proficiency in Python and machine learning frameworks
  • Ability to explain validation of model quality
  • Curiosity about production model behavior
  • Strong experimental mindset with emphasis on measurable outcomes
  • Availability for on-site attendance at least 3 days a week

Responsibilities

  • Rotate across two ML-focused teams within business units
  • Build, train, evaluate, and deploy machine learning models
  • Work with large-scale datasets and live data streams
  • Integrate models into consumer and enterprise systems
  • Monitor model performance and iterate based on outcomes
  • Operate with constraints around latency and reliability

Benefits

  • Medical, dental, and vision insurance
  • 401(k) plan
  • Paid time off
  • Annual discretionary bonus
  • Various additional benefits in line with plan documents
Full Job Description
FOX Forward Deployed is an 12-month rotational program that embeds early-career machine learning engineers inside the teams powering FOX's biggest, most-watched moments. You will complete two six-month deployments across AI-focused teams supporting streaming, sports, news, monetization, and enterprise data systems. You will contribute directly to production ML systems used at national scale. This is not a research sandbox. Models must ship. Systems must scale. You Build It. America Sees It. As a Machine Learning Engineer in FOX Forward Deployed, you will rotate across two ML-focused teams embedded within core business units across Streaming, Sports, News, FOX One, and platform organizations. You will build, deploy, and monitor models operating inside live production systems. From sports video intelligence and newsroom AI to ranking, retrieval, and monetization systems, you will work in high-visibility environments where model quality, latency, reliability, and deployment speed directly impact user experience and business performance. You will operate in an AI-native environment leveraging platforms such as AWS SageMaker and Bedrock, Google Vertex AI, Databricks, Snowflake, ChatGPT, and Claude to accelerate experimentation and production delivery. A SNAPSHOT OF YOUR 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 WHAT YOU COULD BUILD - Video Intelligence at Broadcast Scale: Develop computer vision systems that analyze live sports and news feeds, detect key moments, and generate AI-powered highlights and metadata used across FOX platforms. - Search, Ranking, and Retrieval Systems: Train and optimize recommendation and ranking models that determine what millions of viewers see across FOX properties. - Monetization Optimization Systems: Deploy predictive models that improve ad relevance, yield optimization, and engagement across streaming products. - Enterprise Data and AI Infrastructure: Contribute to ML pipelines and platform infrastructure that support retrieval, embeddings, and applied AI systems across consumer and enterprise applications. WHAT YOU WILL NEED - 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. - FOX Forward Deployed is intentionally small and selective. Participants are expected to operate as contributing ML engineers from day one. HOW WE EVALUATE BUILDERS We evaluate builders by what they've shipped. You will be asked to: - Share one ML artifact such as repository, demo, or paper - Explain the problem the model solved - Describe the evaluation metrics you chose and why - Detail one real constraint or tradeoff - Explain how you used AI tools and how you verified their outputs NICE TO HAVE, BUT NOT A DEALBREAKER - Experience deploying models into production systems - Exposure to recommendation systems, ranking, or personalization - Familiarity with data pipelines or distributed systems #DTC #Ll-KD1 #Ll-Hybrid 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.

About FOX News Network, LLC

FOX News Network, LLC Careers

There has never been a better time to join the dynamic team at FOX News Network, LLC—the leading source of news and media innovation in the industry.

Work You’ll Do

Join FOX News Network, LLC's esteemed team to assist some of the nation's most influential viewers in understanding complex news stories and current events. Transform the media landscape with the brightest minds at FOX News Network, LLC, where leadership in technology, industry expertise, and digital innovation converge. Lead from a unique position in the media marketplace, at the nexus of technology, comprehensive industry knowledge, and groundbreaking innovation. Work alongside a professional team of media and technology advisors to help the company navigate through the evolving landscape of digital media. Collaborate with a robust group of media experts, dedicated to upholding the highest standards of news delivery and innovation.

Introducing the FOX News Network, LLC Professional Growth and Development Initiative

The initiative is building a market-leading team to help some of the nation’s most engaged audiences master the rapid pace of news with innovative media solutions.

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Join one of the most respected groups of media professionals in the industry—dedicated to blending technology, expertise, and digital innovation.

Drive Innovative Solutions

Deliver targeted media solutions on trusted platforms through a depth and breadth of experience and innovation that’s unparalleled in the media sector.

Be Part of a Great Team

Engage with a wide range of technology and utilize the unparalleled capabilities, national scale, and joint solution development of a top-tier media team.

Future-Proof Your Career

Advance as far as your ambition takes you with limitless opportunities to grow your career supported by unmatched training, development, and certification support.

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Discover how FOX News Network, LLC leads in predictive analysis of news trends and audience engagement, enhancing the delivery of news across various platforms.

The FOX News Network, LLC Leadership and Diversity Initiative

The combined service capabilities, national reach, and joint solution development help team members overcome challenges and lead innovation in the media industry. Team members across the nation look to FOX News Network, LLC for new strategies and solutions to drive innovation and growth in the digital era. Bringing together dedicated professionals, FOX News Network, LLC empowers team members to thrive in an era of media disruption.

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