Fox Corporation is home to industry-leading brands including FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations, Tubi Media Group, and FOX One, our recently launched direct-to-consumer (DTC) platform.

Across our portfolio, we build and operate large-scale digital platforms that serve millions of users globally. Our teams combine innovative technology, deep data insights, and world-class content to deliver highly personalized, reliable, and scalable consumer experiences across web, mobile, and connected TV platforms.

Job Description

As a Software Engineer working on backend systems for Personalization, Recommendations, or Search, you will be responsible for building and operating scalable, intelligent systems that drive discovery, engagement, and personalization across Fox’s consumer platforms.
This role goes beyond traditional backend API development. You will work on ML-powered systems, including recommendation pipelines, semantic and conversational search systems, inference services, experimentation frameworks, and data-driven personalization platforms.
You will be deeply involved in how models and intelligent systems are designed, deployed, served, monitored, evaluated, and evolved in production, supporting real-time and data-intensive use cases.
This role requires engineers who take strong end-to-end ownership—from understanding product, user intent, and data requirements, to designing ML-backed systems, deploying models, running experiments, and operating them reliably at scale. We are looking for builders who can independently drive complex systems without the need for hand-holding.

A Snapshot of Your Responsibilities

Core Backend & ML Systems

Design, build, and operate backend systems that power personalization, recommendation, or search use cases at scale.
Own end-to-end delivery of ML-powered features, from system design and implementation to production rollout and ongoing operations.
Build and maintain systems supporting the ML lifecycle, including:
- Model deployment and serving
- Online and batch inference
- Monitoring model performance and system health
- Scaling ML workloads reliably and cost-effectively
Design and operate experimentation frameworks, including A/B testing of models, ranking strategies, or personalization approaches.
Work with embeddings, feature stores, and vector-based systems to support similarity search, recommendations, and discovery use cases.
Optimize inference pipelines and ML-backed services for latency, throughput, reliability, and cost.

Search & Intelligent Discovery

Design, build, and operate advanced search systems powering discovery across Fox’s digital and OTT platforms (e.g., FOX One).
Build and evolve semantic and intelligent search systems, moving beyond keyword-based search to embedding-driven retrieval.
Develop backend systems supporting:
- Query understanding (NER, intent detection, query classification)
- Query rewriting and enrichment
- Semantic retrieval, ranking, and relevance optimization
Work on LLM-powered and agentic search experiences, including conversational and multi-turn search flows where users can ask natural-language questions.
Build systems that combine retrieval, ranking, reasoning, and generation to answer user queries accurately and reliably.

Engineering & Collaboration

Apply strong backend engineering principles to build distributed, fault-tolerant, and observable systems.
Collaborate closely with Data Science, ML, Search, and Product teams to translate models and ideas into robust, production-grade systems.
Write high-quality, maintainable, and well-tested code across backend and data-intensive components.
Participate in code and design reviews, upholding high engineering standards.
Continuously improve system reliability, experimentation velocity, search relevance, and developer productivity.

What Will You Need

Bachelor’s or Master’s degree in Computer Science or a related technical field.
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.
Strong programming skills in Golang and Python, with hands-on experience using both in production systems.
Solid understanding of data structures, algorithms, and their application in backend and distributed systems.
Experience designing and building distributed systems with a focus on scalability, availability, reliability, and low latency.
Hands-on experience working with cloud-based systems (e.g., AWS or equivalent).
Strong understanding of data systems, including relational and NoSQL databases, and data modeling for large-scale, data-intensive systems.
Experience working on or closely with ML-powered systems, including:
- Model deployment and serving
- Online and batch inference pipelines
- Monitoring, versioning, and scaling ML workloads
Experience designing or working with experimentation frameworks, such as A/B testing of models, ranking strategies, or search relevance improvements.
Practical understanding of modern AI systems, including:
- Large language models (LLMs)
- Embeddings and vector representations
- Prompt-based and agentic workflows
Experience or familiarity with search and discovery systems, such as semantic search, vector search, query understanding, or conversational search.
Familiarity with vector databases, vector search, feature stores, recommendation systems, or search ranking pipelines.
Prior experience building personalization, recommendation, or advanced search systems is a strong plus.
Ability to work independently, take ownership, and deliver complex systems end-to-end with minimal guidance.

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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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