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

As a Senior Software Engineer, you will play a crucial role in the full software development lifecycle of the backend systems that power our machine learning applications. Working both independently and as part of a team, you will adopt an Agile methodology, focusing on building the scalable and reliable software architecture and infrastructure needed to support our model development and deployment efforts. We are seeking talented and passionate Software Engineers who take the initiative in identifying and solving complex problems related to ML systems.

Proficiency in writing high-quality, maintainable, and robust code, with expertise in languages such as Golang or Java.
Adopting best practices in software engineering, including design, testing, version control, documentation, build, deployment, and operations.
Experience with the machine learning model lifecycle, including ML Ops principles, model deployment, monitoring, and scaling.
Experience in developing highly scalable software systems with characteristics such as high performance, high availability, low latency, and distributed architecture.

A SNAPSHOT OF YOUR RESPONSIBILITIES

Design, build, and maintain scalable infrastructure to support the entire machine learning model lifecycle, from training and deployment to inference and monitoring.
Act as the owner of a functional area within our ML platform, from product conception to delivery.
Prepare high-level designs and document them, ensuring they meet the demands of large-scale ML workloads.
Independently perform low-level design and coding in multiple tech components.
Optimize existing microservices for performance, latency, and cost, particularly those serving ML models.
Consider non-functional requirements (reliability, availability, scalability) when making decisions.
Build, develop, mentor, and coach junior team members.
Conduct and participate in code and design reviews to maintain high development standards.
Collaborate with Data Science and ML teams to understand their infrastructure needs and build pragmatic, flexible systems that deliver tangible business impact.

What Will You Need:

Bachelor's or Master's degree in Computer Science or equivalent with at least 5 years of experience.
Substantial experience in building complex and scalable backend solutions, preferably for ML or data-intensive systems.
Excellent programming skills in one or more languages, preferably Golang or Java.
Strong object-oriented design skills, ability to apply design patterns, and an uncanny ability to design intuitive modules and class-level interfaces.
Experience in distributed systems design and architecture, with experience in system performance and scaling for large-scale ML workloads.
Experience with a variety of databases, including relational (e.g., MySQL), NoSQL (e.g., MongoDB), and Vector Databases.
Experience in leading multi-engineer projects and mentoring junior engineers.
Ability to perform deep problem-solving and build elegant, maintainable solutions for complex problems.

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#LI-Remote

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.

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Senior Software Engineer

OVERVIEW OF THE COMPANY

JOB DESCRIPTION

JOB DESCRIPTION

Proficiency in writing high-quality, maintainable, and robust code, with expertise in languages such as Golang or Java.

Adopting best practices in software engineering, including design, testing, version control, documentation, build, deployment, and operations.

Experience with the machine learning model lifecycle, including ML Ops principles, model deployment, monitoring, and scaling.

Experience in developing highly scalable software systems with characteristics such as high performance, high availability, low latency, and distributed architecture.

A SNAPSHOT OF YOUR RESPONSIBILITIES

Design, build, and maintain scalable infrastructure to support the entire machine learning model lifecycle, from training and deployment to inference and monitoring.

Act as the owner of a functional area within our ML platform, from product conception to delivery.

Prepare high-level designs and document them, ensuring they meet the demands of large-scale ML workloads.

Independently perform low-level design and coding in multiple tech components.

Optimize existing microservices for performance, latency, and cost, particularly those serving ML models.

Consider non-functional requirements (reliability, availability, scalability) when making decisions.

Build, develop, mentor, and coach junior team members.

Conduct and participate in code and design reviews to maintain high development standards.

Collaborate with Data Science and ML teams to understand their infrastructure needs and build pragmatic, flexible systems that deliver tangible business impact.

What Will You Need:

Bachelor's or Master's degree in Computer Science or equivalent with at least 5 years of experience.

Substantial experience in building complex and scalable backend solutions, preferably for ML or data-intensive systems.

Excellent programming skills in one or more languages, preferably Golang or Java.

Strong object-oriented design skills, ability to apply design patterns, and an uncanny ability to design intuitive modules and class-level interfaces.

Experience in distributed systems design and architecture, with experience in system performance and scaling for large-scale ML workloads.

Experience with a variety of databases, including relational (e.g., MySQL), NoSQL (e.g., MongoDB), and Vector Databases.

Experience in leading multi-engineer projects and mentoring junior engineers.

Ability to perform deep problem-solving and build elegant, maintainable solutions for complex problems.

#LI-SS1

#LI-Remote