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Paramount

Principal Machine Learning Engineer

Paramount

Principal Machine Learning Engineer leading high-impact ML initiatives for Paramount Streaming. Focused on optimizing sign-up flows and delivering a personalized viewer experience through advanced modeling techniques.

Posted 4/12/2026full-timeRemote • California, Colorado, New York, Washington • 🇺🇸 United StatesLead💰 $234,000 - $260,000 per yearWebsite

Tech Stack

Tools & technologies
BigQueryPyTorchSparkTensorflow

About the role

Key responsibilities & impact
  • Lead the design and development of personalization in the P+ sign-up flow and Pluto TV registration flows.
  • Own end-to-end machine learning pipelines—from data and feature engineering to training, deployment, serving, and monitoring.
  • Partner closely with product, design, content, platform engineering, and data science to define roadmaps and deliver measurable user outcomes.
  • Advance our semantic search and browse experience through state-of-the-art embeddings, query understanding, and domain-specific model architectures.
  • Establish high-integrity experimentation practices, improve offline→online correlation, and guide feature rollouts with strong scientific rigor.
  • Mentor engineers and scientists, develop technical talent, and help shape the culture of our growing Applied ML organization.

Requirements

What you’ll need
  • 7–10+ years of experience in machine learning engineering, applied science, recommender systems, multi-armed bandits, or large-scale search/ranking systems.
  • Demonstrated expertise deploying ML systems in high-traffic, real-time production environments.
  • Deep knowledge of modeling techniques such as representation learning, multi-task learning, multi-modal embeddings, contextual bandits, and session modeling.
  • Strong fluency in experimentation methodology, A/B testing, causal reasoning, and metric design.
  • Experience leading and mentoring technical teams; ability to drive strategy while remaining hands-on.
  • Proficiency with modern ML tooling (PyTorch, TensorFlow), big-data environments (Spark, Beam, BigQuery), and production MLOps workflows.

Benefits

Comp & perks
  • Medical
  • Dental
  • Vision
  • 401(k) plan
  • Life insurance coverage
  • Disability benefits
  • Tuition assistance program
  • PTO
  • Bonus eligible

ATS Keywords

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Hard Skills & Tools
machine learning engineeringapplied sciencerecommender systemsmulti-armed banditslarge-scale search systemsrepresentation learningmulti-task learningmulti-modal embeddingscontextual banditssession modeling
Soft Skills
mentoringteam leadershipstrategic thinkingcollaborationcommunication