fox com is hiring: Machine Learning Engineer, FOX Forward Deployed in Los Angele
fox com, Los Angeles, CA, United States
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
FOX Forward Deployed is a 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.
ABOUT THE ROLE
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.
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
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.
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
Learn more about Fox Tech at https://tech.fox.com
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 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.
#J-18808-Ljbffr
In Summary: FOX Forward Deployed is a 12-month rotational program that embeds early-career machine learning engineers inside the teams powering FOX’s biggest, most-watched moments . You will work in high‑visibility environments where model quality, latency, reliability, and deployment speed directly impact user experience and business performance .
En Español: OVERVIEW OF THE COMPANY Fox Corporation Bajo la bandera FOX, producimos y distribuimos contenido a través de algunas de las marcas más importantes y valoradas del mundo, incluidas: FOX News Media, FOX Sports, FOx Entertainment, Fox Television Stations y Tubi Media Group. Empoderamos a una amplia gama de creadores para imaginar y desarrollar contenidos culturalmente significativos, mientras construimos una organización que prospera con ideas creativas, experiencia operativa y pensamiento estratégico. JOB DESCRIPTION FOX Forward Deployed es un programa rotativo de 12 meses que incorpora ingenieros de aprendizaje automático en los equipos que impulsan las noticias más grandes, los momentos más vistos. Se completarán dos misiones de seis meses dentro de equipos centrados en el apoyo al streaming, deportes, monetización y sistemas de datos empresariales. Usted debe contribuir directamente a implementar dos sistemas nacionales de investigación ML Systems. Trabajará en entornos de alta visibilidad donde la calidad, latencia, confiabilidad y velocidad de implementación del modelo afectan directamente a la experiencia del usuario y el rendimiento empresarial. Operará en un entorno nativo de IA aprovechando plataformas como AWS SageMaker y Bedrock, Google Vertex AI, Databricks, Snowflake, ChatGPT y Claude para acelerar las experiencias y la entrega de producción. Se espera que los participantes operen como ingenieros colaboradores de ML desde el primer día. HOW WE EVALUATE BUILDERS Evaluamos a los constructores por lo que han enviado. Compartir un artefacto de ML como repositorio, demo o papel Explique el problema resuelto del modelo Describa las métricas de evaluación que eligió y por qué Detalle una restricción real o compensación Explica cómo usaste herramientas de IA Y cómo verificaste sus resultados NICE TO HAVE, pero NO UN DEALBREAKER Experiencia desplegando modelos médicos en sistemas de producción Exposición a sistemas de recomendaciones, clasificación o personalización Familiaridad con tuberías de datos o sistemas distribuidos Conozca más sobre Fox Techcom.fox En https://www.fox.org Las prestaciones para los trabajadores representados por la Unión serán de conformidad con el acuerdo colectivo aplicable.
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
FOX Forward Deployed is a 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.
ABOUT THE ROLE
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.
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
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.
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
Learn more about Fox Tech at https://tech.fox.com
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 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.
#J-18808-Ljbffr
In Summary: FOX Forward Deployed is a 12-month rotational program that embeds early-career machine learning engineers inside the teams powering FOX’s biggest, most-watched moments . You will work in high‑visibility environments where model quality, latency, reliability, and deployment speed directly impact user experience and business performance .
En Español: OVERVIEW OF THE COMPANY Fox Corporation Bajo la bandera FOX, producimos y distribuimos contenido a través de algunas de las marcas más importantes y valoradas del mundo, incluidas: FOX News Media, FOX Sports, FOx Entertainment, Fox Television Stations y Tubi Media Group. Empoderamos a una amplia gama de creadores para imaginar y desarrollar contenidos culturalmente significativos, mientras construimos una organización que prospera con ideas creativas, experiencia operativa y pensamiento estratégico. JOB DESCRIPTION FOX Forward Deployed es un programa rotativo de 12 meses que incorpora ingenieros de aprendizaje automático en los equipos que impulsan las noticias más grandes, los momentos más vistos. Se completarán dos misiones de seis meses dentro de equipos centrados en el apoyo al streaming, deportes, monetización y sistemas de datos empresariales. Usted debe contribuir directamente a implementar dos sistemas nacionales de investigación ML Systems. Trabajará en entornos de alta visibilidad donde la calidad, latencia, confiabilidad y velocidad de implementación del modelo afectan directamente a la experiencia del usuario y el rendimiento empresarial. Operará en un entorno nativo de IA aprovechando plataformas como AWS SageMaker y Bedrock, Google Vertex AI, Databricks, Snowflake, ChatGPT y Claude para acelerar las experiencias y la entrega de producción. Se espera que los participantes operen como ingenieros colaboradores de ML desde el primer día. HOW WE EVALUATE BUILDERS Evaluamos a los constructores por lo que han enviado. Compartir un artefacto de ML como repositorio, demo o papel Explique el problema resuelto del modelo Describa las métricas de evaluación que eligió y por qué Detalle una restricción real o compensación Explica cómo usaste herramientas de IA Y cómo verificaste sus resultados NICE TO HAVE, pero NO UN DEALBREAKER Experiencia desplegando modelos médicos en sistemas de producción Exposición a sistemas de recomendaciones, clasificación o personalización Familiaridad con tuberías de datos o sistemas distribuidos Conozca más sobre Fox Techcom.fox En https://www.fox.org Las prestaciones para los trabajadores representados por la Unión serán de conformidad con el acuerdo colectivo aplicable.