Machine Learning Engineer

Fox Corporation; Bengaluru; On-site; INR 2,500,000 - 6,000,000; Full time

Job summary

FOX Corporation is seeking a skilled ML/ Senior Engineer to design, deploy, and optimize personalized content discovery across streaming products. You will work on ranking, semantic search, and real-time/batch inference with a hands-on approach in a cross-functional team.

The role emphasizes scalable ML systems, experimentation, and collaboration with data engineers, MLOps, and product managers to deliver personalized experiences at scale.

Qualifications

• 3-7 years of experience in machine learning, applied data science, or related fields, with focus on personalization or recommender systems.
• Proven track record of developing and deploying ML models into production environments.
• Strong understanding of ranking, user behavior modeling and evaluation metrics (e.g. NDCG, AUC, MAP, CTR).

Responsibilities

• Design and build scalable recommendation and personalization models (ranking, re-ranking, user embeddings, semantic retrieval).
• Own the full model lifecycle from data prep to deployment and monitoring.
• Develop continuous training loops and model refresh strategies for dynamic personalization.
• Set up and interpret A/B experiments to optimize model performance and engagement.
• Collaborate with data engineers, MLOps, and product managers to integrate models into real-time and batch pipelines.
• Leverage Databricks, MLflow, and feature stores to streamline experiments and reproducibility.
• Apply LLMs and AI agents to improve personalization workflows and accelerate development.
• Mentor junior data scientists and ML engineers through code reviews and best practices.

Skills

Machine learning

Python

PyTorch

TensorFlow

Model deployment

AB testing

Cloud platforms

Tools

Databricks

MLflow

Spark

FAISS

Vespa

Job description

OVERVIEW OF THE COMPANY

Fox Corporation Under the FOX banner, we produce and distribute content through some of the worlds 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 Fox Corporation is home to industry-leading brands including FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations, and Tubi Media Group. We combine innovative technology, deep data insights, and world-class content to shape the future of digital entertainment. Our DTC platforms are built to deliver highly personalized, scalable user experiences to millions of global users.

ABOUT THE ROLE

FOX Corporation is looking for a SDE (L2), ML / Senior Engineer, ML to join the Personalization & Recommendations (PnR) team and help drive the evolution of personalized content discovery across our streaming products. In this role, you'll be a hands-on contributor responsible for designing, building, and deploying ML models for recommendations, ranking, and semantic search, and ensuring they evolve through continuous learning and experimentation. You will work at the intersection of ML model development, production engineering, and data-driven experimentation, collaborating with cross-functional teams to ensure scalable, performant, and personalized experiences. This role is ideal for engineers who have built and iterated on production-grade personalization systems and thrive on both deep technical challenges and business impact.

A SNAPSHOT OF YOUR RESPONSIBILITIES

• Design and build scalable recommendation and personalization models (ranking, re-ranking, user embeddings, semantic retrieval)
• Own the full model lifecycle: from data preparation, training, and evaluation, to versioning, deployment, and monitoring
• Develop and maintain continuous training loops and model refresh strategies for dynamic personalization
• Set up and interpret A/B experiments to optimize model performance and user engagement
• Collaborate with data engineers, MLOps teams, and product managers to ensure models integrate seamlessly into real-time and batch inference pipelines
• Leverage platforms like Databricks, MLflow, and feature stores to streamline model experimentation and reproducibility
• Apply LLMs and AI agents to improve personalization workflows and accelerate ML development pipelines
• Contribute to architecture decisions for personalization services and model serving infrastructure
• Mentor and provide technical guidance to junior data scientists and ML engineers, conducting code reviews, sharing best practices, and supporting their growth in areas such as model development, experimentation, and productionization

WHAT YOU WILL NEED

• At least 3-7 years of experience in machine learning, applied data science, or related fields, with a strong focus on recommendation systems or personalization
• Demonstrated experience in developing and deploying ML models into production environments
• Deep understanding of ranking systems, user behavior modeling and evaluation techniques (e.g. NDCG, AUC, MAP, CTR)
• Proficient in Python and ML libraries like PyTorch, TensorFlow and frameworks such as Transformers or LightGBM
• Experience with Databricks, Spark or similar big data platforms for large-scale model training and data processing
• Familiarity with model versioning, feature stores, experiment tracking and MLflow
• Strong grasp of A/B testing design, analysis, and interpreting results for iterative model improvements
• Experience with LLM-based pipelines, semantic search or vector similarity systems (e.g. FAISS, Vespa) is a plus
• Comfort working in cloud-native environments such as AWS or GCP

NICE TO HAVE, BUT NOT REQUIRED

• Experience using or building AI agents, LangChain or workflow automation frameworks for model experimentation
• Exposure to real-time inference systems and streaming architectures (Kafka, Flink)
• Experience working on personalization systems at scale, particularly for high-traffic applications or live events
• Contributions to open-source ML tools or research in personalization-related fields #LI-SS1

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.

We're disruptors. We're big dreamers. We're believers in the future, in possibility, in potential. We're reinventing the world, every day. We create content for audiences big and small, global and local. We put our audiences first, and work hard to bring them stories they'll love, wherever they are and however they watch, listen and learn.

Whatever your discipline, from on-air talent to behind-the-scenes tech guru to business and finance, the career opportunities at FOX are exciting, rewarding and game-changing. We seek out the most talented individuals - the dreamers, the disruptors and the visionaries -and we want them to know that they matter.

We're committed to helping every single one of our employees feel valued and inspired, every day.