Machine Learning Engineer, Presentation and Visual Optimization

🕒 April 19

🗽 New York – Remote

🗽 New York – Remote

💵 $124k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Paramount

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1912

📱 Media

👥 B2C

Media • B2C • Entertainment

Paramount is a global multimedia entertainment and news company that offers a range of services including direct-to-consumer digital subscription video on-demand and live streaming through Paramount+. It also owns Pluto TV, a leading free streaming television service, MTV, the world’s premier youth entertainment brand, and CBS Sports, a leader in television sports broadcasts. Paramount Pictures, since 1912, has been a legendary producer and distributor of films, hosting a library of over 1,000 titles. The company is deeply committed to inclusion and impact, focusing on diversity, global sustainability, and content that affects change. Being a significant player in both live and on-demand streaming services, Paramount embraces a wide array of content from sports to kids’ entertainment, comedy, and groundbreaking documentaries, impacting both linear and streaming platforms globally.

📋 Description

• Own the Visual Gateway: Deliver the features that identify the first thing millions of users see when they open our apps. • Drive Systematic Quality: Improve the reliability and velocity of our experimentation systems, ensuring our visual tests are statistically sound and performant. • Scale Discovery: Build the components that allow us to personalize the 'look and feel' of the platform, not just the content list. • Feature & Component Ownership: Design and implement specific solutions for Multi-Armed Bandit (MAB) systems and visual feature pipelines. • Self-governing Delivery: Own the end-to-end implementation of defined tasks, from data ingestion to production deployment, with moderate autonomy. • System Optimization: Proactively identify and fix bottlenecks in team systems to improve quality, reliability, or engineering velocity. • Collaborative Quality: Participate actively in design and code reviews, providing constructive feedback and ensuring high technical standards within your scope. • Data-Driven Execution: Set up and monitor online experiments (A/B tests and bandit rollouts) to measure the impact of presentation features on user interaction.

🎯 Requirements

• 3+ years of experience in machine learning engineering or backend software engineering. • Proven Delivery: Experience owning and delivering technical features or components autonomously. • Technical Stack: Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow. • Data Foundations: Strong skills in SQL and experience with distributed data processing (e.g., Spark or Databricks). • Engineering Rigor: Familiarity with version control, CI/CD, and writing production-grade, maintainable code. • Familiarity with Multi-Armed Bandits or Reinforcement Learning concepts. • Background in Computer Vision or image processing. • Experience in a high-scale streaming or e-commerce environment. • Experience with Cloud Infrastructure, including AWS, GCP, and Azure.

🏖️ Benefits

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