Machine Learning Engineer

Machine Learning Engineer

We're 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 Qdrant to 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.

What We Offer: Attractive compensation and comprehensive benefits packages. Generous paid time off. An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams. Opportunities for both on-site and virtual engagement events. Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.

Paramount is an equal opportunity employer (EOE) including disability/vet. At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.