Machine Learning Engineer, Ads Personalization

Paramount; New York (NY); On-site; USD 124,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k)

Life insurance

Disability coverage

Tuition assistance

PTO

Bonus eligibility

Job summary

Paramount is seeking a Machine Learning Engineer to join the PlutoTV team in New York. This role involves applying machine-learning techniques to enhance the viewing experience by personalizing channel and content scheduling. Candidates should have a minimum of 3 years in machine learning, proficiency in Python and SQL, and experience with TensorFlow or PyTorch. The hiring salary range is $124,000 - $150,000, with comprehensive benefits including medical, dental, and PTO.

Qualifications

• Minimum 3+ years in Machine Learning Engineering.
• Proficiency in Python and SQL.
• Experience with TensorFlow or PyTorch and GCP.

Responsibilities

• Design and deploy ML components for channel ranking and guide personalization.
• Work with linear scheduling data to create relevant features.
• Use Qdrant for content similarity improvements.
• Train and refine models focusing on key metrics.
• Own delivery of tasks from data exploration to production.

Skills

Machine Learning Engineering

Python

SQL

TensorFlow

PyTorch

GCP

Job description

Overview

We are seeking a Machine Learning Engineer to join the PlutoTV pod. Your focus will be applying machine‑learning techniques to Channel, Guide, and Schedule personalization to make the FAST (Free Ad‑supported Streaming TV) experience feel as dynamic as a premium on‑demand service. You will help build the models that select which channels appear in the guide and how content is scheduled to maximize viewer session length, working within our GCP stack, leveraging Qdrant for content similarity and Post‑training RL to optimize the "Lean‑back" viewing experience.

Why This Role Matters

• Modernizing Linear TV: You are part of the team transforming the static EPG (Electronic Programming Guide) into a personalized, data‑driven discovery engine.
• Optimizing the "Lean‑Back": Your models help users find something to watch immediately, reducing the friction inherent in "channel surfing."
• Global Scale: PlutoTV is a leader in the FAST space; your code will impact the viewing habits of millions of users worldwide.

Key Responsibilities

• Feature Development: Design and deploy ML components for channel ranking and guide personalization.
• FAST Metadata Integration: Work with linear scheduling data to create features that account for "Current" vs "Next" program relevance.
• Vector-Based Similarity: Use Qdrant to group similar channels and content to improve the "More Like This" experience within the guide.
• Model Refinement: Train and iterate on models using TensorFlow/PyTorch, focusing on session‑start and watch‑time metrics.
• Independent Execution: Own the delivery of defined tasks within the PlutoTV roadmap, from data exploration to production deployment.

Basic Qualifications

• Minimum: 3+ years in MLE; proficiency in Python/SQL; experience with TensorFlow/PyTorch and GCP.

Additional Qualifications

• Preferred: Knowledge with FAST or Broadcast TV data structures; experience with Qdrant or similar vector databases.

Compensation and Benefits

• Hiring Salary Range: $124,000.00 - 150,000.00.
• Benefits include medical, dental, vision, 401(k), life insurance, disability coverage, tuition assistance, PTO, and bonus eligibility.

Benefits Overview

• Attractive compensation and comprehensive benefits packages.
• Generous paid time off.
• Exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams.
• Opportunities for both on‑site and virtual engagement events.
• Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.

Paramount is an equal opportunity employer (EOE) including disability/vet. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation. Contact us at 212.846.5500 or send an email to [e-mail].