Senior Machine Learning Engineer, Ads Personalization

Paramount

. Join the Pluto TV pod as a Senior Machine Learning Engineer .

Posted 10/8/2026full-timeRemote • United StatesSenior💰 $139,000 - $219,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in Machine Learning Engineering with a focus on designing and implementing models for content personalization and scheduling in a GCP environment. Proficient in TensorFlow and PyTorch, with a strong understanding of FAST applications and real-time data processing.

Highest-signal resume keywords

Machine Learning EngineeringTensorFlow ProficiencyPyTorch ProficiencyGCP KnowledgeFAST Applications Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningModel DesignContent PersonalizationScheduling AlgorithmsData Stream Management

Soft Skills

MentoringCollaboration

Tools & Technologies

GCPTensorFlowPyTorch

Industry Keywords

Linear TVFAST AppsReal-Time SchedulingContent AffinityUser Preferences

Tech Stack

Tools & technologies

Google Cloud PlatformPyTorchTensorflow

About the role

Key responsibilities & impact

Join the Pluto TV pod as a Senior Machine Learning Engineer
Personalize the Linear/FAST experience, including channel presentation, scheduling, and guide personalization
Design complex scheduling and ranking features in the GCP-based stack
Build models to personalize time-slot-specific content
Predict what users want to watch now versus later using TensorFlow and PyTorch
Architect and implement models that dynamically reorder or highlight channels in the PlutoTV EPG
Design models supporting content scheduling decisions based on user preferences and content affinity
Deliver production-ready TensorFlow and PyTorch code within GCP infrastructure
Identify and mitigate risks related to live data streams and real-time scheduling constraints
Mentor junior engineers on Linear TV data and FAST-specific success metrics

Requirements

What you’ll need

5+ years of experience in machine learning engineering
Knowledge of GCP
Proficiency in TensorFlow and PyTorch
Direct experience with FAST apps or linear TV scheduling
Experience with “Always-on” streaming data

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
401(k) plan
Life insurance coverage
Disability benefits
Tuition assistance program
PTO
Bonus eligibility
Attractive compensation and comprehensive benefits packages
Generous paid time off
Opportunities for on-site and virtual engagement events
Opportunities to make meaningful connections and build a vibrant community