Senior Machine Learning Engineer- Ads Personalization

Paramount • New York, NY

9d

About The Position

We are seeking a Senior Machine Learning Engineer to join the PlutoTV pod. Your "North Star" mission is the personalization of the Linear/FAST experience, specifically focusing on Channel presentation, scheduling, and guide personalization. You will bridge the gap between traditional TV and modern ML, ensuring the Electronic Programming Guide (EPG) feels dynamic and tailored to every viewer. As a Senior Engineer, you will lead the design of complex scheduling and ranking features in our GCP-based stack. You will tackle the unique assignment of personalizing content that is tied to a specific time slot, utilizing TensorFlow and PyTorch to predict what a user wants to watch now versus what they might want to watch in an hour.

Requirements

• 5+ years of experience in MLE
• knowledge with GCP
• proficiency in TensorFlow and PyTorch

Nice To Haves

• Direct experience with FAST apps or linear TV scheduling
• experience with "Always-on" streaming data

Responsibilities

• Guide Personalization: Architect and implement models that dynamically reorder or highlight channels within the PlutoTV EPG.
• Scheduling Optimization: Design models that assist in content scheduling decisions based on user preferences and content affinity.
• Multi-Framework Development: Deliver production-ready code in TensorFlow and PyTorch within our GCP infrastructure.
• Anticipate System Risks: Proactively identify and mitigate issues related to "live" data streams and real-time scheduling constraints.
• Technical Mentorship: Guide junior engineers in the nuances of Linear TV data and FAST-specific success metrics.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees