Senior Machine Learning Engineer, Ads Personalization

🔥 0 minutes ago

🏄 California, Colorado, +2 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $139k - $219k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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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

• Join the Pluto TV pod as a Senior Machine Learning Engineer • Personalize the Linear/FAST experience, including channel presentation, scheduling, and guide personalization • Design complex scheduling and ranking features in the GCP-based stack • Build models to personalize time-slot-specific content • Predict what users want to watch now versus later using TensorFlow and PyTorch • Architect and implement models that dynamically reorder or highlight channels in the PlutoTV EPG • Design models supporting content scheduling decisions based on user preferences and content affinity • Deliver production-ready TensorFlow and PyTorch code within GCP infrastructure • Identify and mitigate risks related to live data streams and real-time scheduling constraints • Mentor junior engineers on Linear TV data and FAST-specific success metrics

🎯 Requirements

• 5+ years of experience in machine learning engineering • Knowledge of GCP • Proficiency in TensorFlow and PyTorch • Direct experience with FAST apps or linear TV scheduling • Experience with “Always-on” streaming data

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401(k) plan • Life insurance coverage • Disability benefits • Tuition assistance program • PTO • Bonus eligibility • Attractive compensation and comprehensive benefits packages • Generous paid time off • Opportunities for on-site and virtual engagement events • Opportunities to make meaningful connections and build a vibrant community