Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Paramount

Senior Machine Learning Engineer

Paramount

. Design and implement models that dynamically reorder or highlight channels within the PlutoTV EPG .

Posted 9/18/2026full-timeRemote • California • United StatesSenior💰 $139,000 - $209,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in machine learning engineering with a focus on designing and implementing models for content scheduling and personalization in streaming environments. Proficient in delivering production-ready code using TensorFlow and PyTorch within GCP infrastructure.

Highest-signal resume keywords
Machine Learning EngineeringTensorFlow ProficiencyPyTorch ProficiencyGCP KnowledgeFAST Apps Experience

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine Learning EngineeringModel DesignContent SchedulingReal-Time Data ProcessingData Stream Management
Soft Skills
Mentoring Junior EngineersProblem Solving
Tools & Technologies
TensorFlowPyTorchGCP
Industry Keywords
Linear TV SchedulingFAST AppsStreaming DataUser PreferencesContent Affinity

Tech Stack

Tools & technologies
Google Cloud PlatformPyTorchTensorflow

About the role

Key responsibilities & impact
  • Design and implement models that dynamically reorder or highlight channels within the PlutoTV EPG
  • Design models to support content scheduling decisions based on user preferences and content affinity
  • Deliver production-ready TensorFlow and PyTorch code within GCP infrastructure
  • Identify and mitigate issues related to live data streams and real-time scheduling constraints
  • Guide junior engineers on Linear TV data and FAST-specific success metrics
  • Lead design of complex scheduling and ranking features
  • Personalize the PlutoTV Linear/FAST experience, including channel presentation, scheduling, and guide personalization

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
  • On-site and virtual engagement events
  • Opportunities to build meaningful connections and a vibrant community