Machine Learning Engineer, Entry

Paramount

Machine Learning Engineer optimizing onboarding and re-entry experiences within Paramount's streaming services. Focusing on user commitment and personalization through advanced machine learning techniques.

Posted 5/17/2026full-timeRemote • California, Colorado, New York, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $124,000 - $186,000 per yearWebsite

Tech Stack

Tools & technologies

Google Cloud PlatformPyTorchTensorflow

About the role

Key responsibilities & impact

Own the implementation of features for JBI (Jump Back In) and YNW (Your Next Watch)
Use Qdrant to find high-relevance candidates for re-entry carousels based on session history and global trends
Use MLFlow to manage, track, and deploy experiments
Develop and serve models in GCP using TensorFlow/PyTorch
Participate in design reviews
Build the logic that makes the app feel personalized for users with little data
Optimize for the "Play" button as a signal of user commitment

Requirements

What you’ll need

3+ years in MLE
Experience with GCP and MLFlow
Proficiency in TensorFlow/PyTorch
Knowledge with Vector DBs
Proven ability to implement features that solve the "Cold Start" problem for new users
Experience managing, tracking, and deploying experiments to ensure a high bar for reproducibility.

Benefits

Comp & perks

medical
dental
vision
401(k) plan
life insurance coverage
disability benefits
tuition assistance program
PTO

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learning engineeringGCPMLFlowTensorFlowPyTorchvector databasesfeature implementationexperiment managementreproducibilityCold Start problem