Senior Engineering Manager

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

OVERVIEW OF THE COMPANY

Under the FOX banner, we produce and distribute content through some of the world's leading and most valued brands, including: FOX News, FOX Sports, the Fox Network, and the FOX Television Stations. 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.

A SNAPSHOT OF YOUR RESPONSIBILITIES:

• Hands-On Technical Leadership: Build and lead a high-performing team of engineers while providing direct technical guidance, actively participate in design and architecture reviews, and contribute to solving complex engineering problems.
• ML Lifecycle Management: Oversee and enhance the entire machine learning model lifecycle, including scaling, deployment, monitoring, and maintenance, ensuring robust and scalable backend systems.
• Build Scalable Services: Lead the team to design and implement highly scalable low latency services to serve real time recommendations .
• Process Improvement: Help implement effective engineering processes for model development and operations and champion their adoption.
• Cross-Functional Collaboration: Define and execute the technical roadmap by collaborating closely with partners in Data Science, Data Engineering, Product, Design, and Operations.
• Technical Vision: Evaluate architecture choices on an ongoing basis, in anticipation of increased scale and ever-evolving technology to meet the demands of a rapidly growing business.
  
  

What You Will Need

• You have 2+ years of experience growing and managing software development teams, specifically with ML Ops, Dev, Backend engineers, in fast-paced environments and 7+ years of software development experience.
• Proven experience working on the full machine learning model lifecycle, including scaling, deploying, and operations.
• You have a strong grasp of backend systems and technologies such as Java/Go and distributed/cloud development. You also have knowledge of modern Machine Learningsystems , including vector databases, and LLMs .
• You have experience building and leading a team of exceptional engineers.
• You can work through ambiguous requirements and make decisions to push forward.
• You have passion for building highly scalable solutions with flexibility factored in to make quick pivots as business evolves.
• You demonstrate excellent communication skills, both within the team, and across the organization.
• You have good ideas and can inspire the team to come up with better ideas.
  
  

About You

• Have Ownership - you feel ownership over everything you ship; you'd never call code "done" until you're confident it's correct.
• Passion - you pride yourself on efficient monitoring, strong documentation, and proper test coverage. You are excited to work with a modern technology stack, but you have demonstrable experience with a diverse pool of technologies.
• Be a team player - you believe that you can achieve more on a team, that the whole is greater than the sum of its parts; you rely on others' candid feedback for continuous improvement.
• Have an ability to make an impact - you seek new methods and tools to make great applications faster and better, both on the front-end and back-end.
• Never stop learning - you expose yourself to the latest & great technologies and are continuously learning.
• Be proactive - you discuss and make suggestions for process improvement on how to do things more efficiently.
• Collaborate - you partner with a diverse group of professionals with different skills & disciplines across the organization to achieve a common goal.
  
  

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.