Principal Machine Learning Engineer

🕒 July 28

🗽 New York – Remote

🗽 New York – Remote

💵 $233.6k - $350.4k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Paramount

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1912

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

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

• Set Technical Strategy: Own the multi-quarter technical roadmap for personalization, covering candidate generation, ranking, and exploration. • Architect end-to-end systems. • Design multi-stage personalization systems including retrieval, deep ranking, contextual embeddings, and bandit-based exploration. • Manage the entire process, from feature engineering to training, serving, and monitoring. • Advance modeling in production. • Drive advanced techniques using representation learning, multi-task learning, multi-modal embeddings, and session modeling to improve user satisfaction. • Partner with Core Science, Content Understanding, ML Platform, and Product to align personalization with broader strategy. • Ensure personalization pipelines are high-throughput, reliable, and observable in GCP using TensorFlow/PyTorch and big-data tooling (Beam, BigQuery). • Raise the quality of experimentation and improve the correlation between offline and online results. • Mentor engineers and grow the next generation of senior ML talent.

🎯 Requirements

• 8+ years of experience in MLE, applied science, or large-scale recommender/ranking systems, with a track record of setting technical direction. • Proficient in representation learning. • Experience with multi-modal embeddings. • Knowledge of contextual bandits and session modeling. • Robust fluency in experimentation methodology, A/B testing, causal reasoning, and metric design. • Proficiency in GCP, TensorFlow, and PyTorch. • Demonstrated ability to influence technical strategy across multiple teams.

🏖️ Benefits

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