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Fox Corporation

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2.9

based on 6 Reviews

2 Fox Corporation Jobs

Staff Engineer, Machine Learning

Fox Corporation

2.9

based on 6 Reviews

8-9 years

Remote

1 vacancy

Staff Engineer, Machine Learning

Fox Corporation

posted 3+ weeks ago

Job Role Insights

Flexible timing

Key skills for the job

Medical Coding Python AWS Architecture Machine Learning Deep Learning

+ 3 more

Job Description

We are seeking a Staff Engineer to join our Personalization & Recommendations team for Fox s next-generation Direct-to-Consumer (DTC) streaming platform. This is a hands-on individual contributor role that also provides technical leadership and mentorship to a growing team of data scientists & backend engineers.

You will work on building and scaling recommendation systems, user personas, real-time inference services , and model experimentation frameworks that power personalized user experiences across content surfaces such as homepage, watch-next, and search.

This role is ideal for engineers who are passionate about solving complex personalization problems at scale and enjoy both coding and leading by example.

A SNAPSHOT OF YOUR RESPONSIBILITIES

Build, train, and deploy personalization models using real-time and offline user behavior signals
Mentor junior data scientists and machine learning engineers in modeling techniques, experimentation, and system integration
Partner closely with Product, Data Engineering, and API teams to translate product needs into scalable ML solutions
Design and implement modular, low-latency recommendation services integrated into the streaming platform
Define and evolve best practices for model versioning, A/B testing, and feature store management
Own the end-to-end lifecycle of personalization models from research and prototyping to production deployment
Contribute to incident management, system performance tuning , and ensure SLAs for all user-facing ML endpoints
Align with US-based teams to ensure timely execution of roadmap items, architectural consistency, and delivery velocity

WHAT YOU WILL NEED

8+ years of experience in software engineering and machine learning , with at least 5 years focused on building personalization & recommender systems
Proven track record of building and deploying ML models for content or product personalization at scale (millions of active users, millions of product items in catalog)
Strong coding experience in Python, Scala, or Go , with exposure to modern ML and data engineering stacks
Experience working with distributed systems and streaming architectures (e.g., Kafka, Flink)
Deep understanding of ML infrastructure , including online/offline training loops, real-time inference, and deployment tools (e.g., Databricks, SageMaker, or AWS Personalize)
Experience deploying services in cloud environments such as AWS, GCP, or Azure
Familiarity with vector search engines (e.g., FAISS, Vespa) and semantic retrieval
Ability to communicate technical concepts clearly and influence architectural decisions across teams

NICE TO HAVE, BUT NOT A DEALBREAKER

Experience with ad personalization , dynamic creative optimization, or contextual targeting
Built and scaled recommendation systems for live events or high-traffic scenarios
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) in production environments