Principal ML Engineer: Visual Personalization & Layout

Paramount Pictures; New York (NY); On-site; USD 234,000 - 250,000; Full time

Benefits offered by this job

Attractive compensation and benefits packages

Generous paid time off

Opportunities for virtual engagement events

Unique opportunities to build a community

Job summary

Paramount Pictures is seeking a Principal Machine Learning Engineer to lead the Presentation pod focused on optimizing content presentation. The engineer will define the technical roadmap, leverage Multi-Armed Bandits, and develop models for visual personalization across streaming platforms. Candidates need 6-8 years of experience in machine learning, proficiency in Python/PyTorch/TensorFlow, and leadership in a technical environment. Attractive compensation and benefits, with a salary range of $234,000 to $250,000.

Qualifications

• 6–8+ years of experience in machine learning engineering or applied science.
• Expertise with Multi‑Armed Bandits, Contextual Bandits, or UCB algorithms.
• Track record designing high‑velocity A/B testing or online learning systems.
• Proficiency in Python, PyTorch/TensorFlow, and big-data processing (Spark/Databricks).
• Leadership experience of a technical pod translating product/design needs into engineering requirements.

Responsibilities

• Define the technical roadmap for visual personalization.
• Architect and deploy MAB systems for dynamic asset selection.
• Develop models for carousel design personalization.
• Use NLP and LLMs to optimize carousel titles and descriptions.
• Design always‑on pipelines based on reward signals.
• Partner with Content Engineering for performance explanations.

Skills

Machine learning engineering

Expertise with Multi-Armed Bandits

A/B testing

Python

PyTorch

TensorFlow

Big-data processing

Job description

Paramount Pictures is seeking a Principal Machine Learning Engineer to lead the Presentation pod focused on optimizing content presentation. The engineer will define the technical roadmap, leverage Multi-Armed Bandits, and develop models for visual personalization across streaming platforms. Candidates need 6-8 years of experience in machine learning, proficiency in Python/PyTorch/TensorFlow, and leadership in a technical environment. Attractive compensation and benefits, with a salary range of $234,000 to $250,000.