Prinicpal Machine Learning Engineer, Presentation and Visual Optimization
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Paramount
New York, NY (In Person)
$242,000 Salary, Full-Time
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Job Description
- \#WeAreParamount on a mission to unleash the power of content you in?
- Weve got the brands, weve got the stars, weve got thepowerto achieve our mission to entertain the planet now all were missing is YOU!
- Principal Machine Learning Engineer, Presentation & Visual Optimization
Role Overview:
- We are seeking a
- Principal Machine Learning Engineer
- to lead our Presentation pod.
- Multi-Armed Bandits (MAB)
- and computer vision to identify which image, headline, or layout style resonates most with a specific user in a specific context.
The First Impression:
- Owning the "Artwork Personalization" engine that determines the visual identity of our catalog for every user. +
Attention Optimization:
- Transitioning beyond standard recommendation to solve for "visual fatigue" and "discovery friction" through dynamic layout and title changes. +
- Experimentation at
Scale:
- Leading a pod built for swiftness, running hundreds of concurrent bandit-based experiments to find the winning visual combination in real-time.
Responsibilities:
- + •Lead the
Presentation Pod:
- Define the technical roadmap for visual personalization, bridging the gap between ML science and UI/UX design. +
Artwork & Marquee Personalization:
- Architect and deploy multi-armed bandit (MAB) systems to dynamically select the best creative assets for show tiles and hero marquees. +
Layout & Style Optimization:
- Develop models to personalize carousel design types (e.g., square vs. poster), presentation styles, and even the ordering of attributes shown to the user. +
Title & Copy Optimization:
- Utilize NLP and LLMs to experiment with and optimize carousel titles and content descriptions based on user preferences and trending topics. +
Fast Experimentation Frameworks:
- Design "always-on" experimentation pipelines that can shift traffic based on model confidence and reward signals (CTR, Playback Start). +
Visual Understanding:
- Partner with Content Engineering to leverage visual embeddings and computer vision signals to understand _why_ certain artwork performs better than others.
Basic Qualifications:
- + •6-8+ years•of experience in machine learning engineering or applied science.
Bandit Expertise:
- Deep hands-on experience with Multi-Armed Bandits, Contextual Bandits, Thompson Sampling, or Upper Confidence Bound (UCB) algorithms. +
Rapid Experimentation:
- Proven track record of designing high-velocity A/B testing or online learning systems. +
Technical Stack:
- Proficiency in
- Python, PyTorch/TensorFlow
- , and big-data processing (Spark/Databricks). +
Leadership:
- Experience leading a technical pod or team, with a focus on translating product/design needs into engineering requirements.
Additional Qualifications:
- + Experience in
- Visual Personalization
- (artwork, thumbnails, or creative optimization). + Background in
- Computer Vision
- (OCR, aesthetic scoring, or image feature extraction). + Knowledge of
- Reinforcement Learning (RL)
- for sequential layout optimization. + Familiarity with
- LLMs/Generative AI
- for automated copy generation and title testing.
SHOWTIME. ADDITIONAL INFORMATION
Hiring Salary Range:
$234,000.00 - 250,000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement.This position is bonus eligible.
What We Offer:
- + Attractive compensation and comprehensive benefits packages.
Paramount:
https://www.paramount.com/careers/life-at-paramount Paramount is an equal opportunity employer (EOE) including disability/vet. At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. 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 if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.Similar remote jobs
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