> Markdown version of [/jobs/ext/1408824-machine-learning-engineer-ads-personalization](https://www.wearedevelopers.com/jobs/ext/1408824-machine-learning-engineer-ads-personalization). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine Learning Engineer, Ads Personalization

- **Company:** Paramount Global
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $124,000.0 - $186,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Computer Programming, Data Structures, Python (Programming Language), Linear Programming, Machine Learning, Metadata, Tensorflow, Software Deployment, SQL Databases, Data Streaming, Pytorch, Data Analytics
- **Published:** July 23, 2026
- **Apply:** https://www.juju.com/job/00000000girxv5

## About the Role

+ **Minimum:** 3+ years in MLE; proficiency in Python/SQL; experience with TensorFlow/PyTorch and GCP., + **Preferred:** Knowledge with FAST or Broadcast TV data structures; experience with Qdrant or similar vector databases.

## Description

We are seeking a Machine Learning Engineer to join the PlutoTV pod. You will focus on Channel, Guide, and Schedule personalization. Your goal is to make the FAST (Free Ad-supported Streaming TV) experience feel as dynamic as a premium on-demand service. You will help build the models that select which channels appear in the guide and how content is scheduled to maximize viewer session length.

This role requires deep knowledge of FAST systems and the unique constraints of linear programming. You will implement features within our GCP stack, leveraging Qdrant for content similarity and Post-training RL to optimize the "Lean-back" viewing experience.

Why This Role Matters

 + **Modernizing Linear TV:** You are part of the team transforming the static EPG (Electronic Programming Guide) into a personalized, data-driven discovery engine.

 + **Optimizing the "Lean-Back":** Your models help users find something to watch immediately, reducing the friction inherent in "channel surfing."

 + **Global Scale:** PlutoTV is a leader in the FAST space; your code will impact the viewing habits of millions of users worldwide.

Key Responsibilities

 + **Feature Development:** Design and deploy ML components for channel ranking and guide personalization.

 + **FAST Metadata Integration:** Work with linear scheduling data to create features that account for "Current" vs "Next" program relevance.

 + **Vector-Based Similarity:** Use Qdrantto group similar channels and content to improve the "More Like This" experience within the guide.

 + **Model Refinement:** Train and iterate on models using TensorFlow/PyTorch, focusing on session-start and watch-time metrics.

 + **Independent Execution:** Own the delivery of defined tasks within the PlutoTV roadmap, from data exploration to production deployment.


## Related Videos

- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale)
- [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Prompt Engineering is a Job of the Past](https://www.wearedevelopers.com/magazine/342-prompt-engineering-is-a-job-of-the-past)