
Principal Machine Learning Engineer
Paramount
full-time
Posted on:
Location Type: Remote
Location: California • Colorado • United States
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Salary
💰 $234,000 - $260,000 per year
Job Level
Tech Stack
About the role
- 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
- 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
- Medical
- Dental
- Vision
- 401(k) plan
- Life insurance coverage
- Disability benefits
- Tuition assistance program
- PTO
- Bonus eligible
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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