Principal Machine Learning Engineer

Paramount is a leading entertainment company that seeks a Principal Machine Learning Engineer to join their Paramount Streaming team. This role will lead high-impact machine learning initiatives to optimize user experiences across Paramount+ and Pluto TV, focusing on personalization and discovery.

Responsibilities:

• 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