Machine Learning Engineer

#WeAreParamount on a mission to unleash the power of content… you in?
We’ve got the brands, we’ve got the stars, we’ve got the power to achieve our mission to entertain the planet – now all we’re missing is… YOU Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.

Overview

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.

Basic Qualifications

• Minimum: 3+ years in MLE; proficiency in Python/SQL; experience with TensorFlow/PyTorch and GCP.

Additional Qualifications

• Preferred: Knowledge with FAST or Broadcast TV data structures; experience with Qdrant or similar vector databases.

#LI-PG1

Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment™. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME®.

ADDITIONAL INFORMATION

Hiring Salary Range: $124,000.00 - 186,000.00. 

The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medica