Machine Learning Engineer, Presentation and Visual Optimization

Paramount; New York (NY); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Attractive compensation and comprehensive benefits

Generous paid time off

Opportunities for on-site and virtual engagement events

Unique opportunities for community building

Job summary

Paramount is seeking a Machine Learning Engineer for its Presentation pod in New York. The role involves owning visual systems that optimize user engagement across apps, focusing on features like bandit-based reward signals and computer vision. Candidates should have 3+ years of experience in machine learning engineering, proficiency in Python, and familiarity with frameworks like PyTorch or TensorFlow. The position offers competitive compensation, generous paid time off, and opportunities for both on-site and virtual engagement.

Qualifications

• 3+ years of experience in machine learning engineering or backend software engineering.
• Experience owning and delivering technical features or components autonomously.
• Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow.
• Strong skills in SQL and experience with distributed data processing.

Responsibilities

• Design and implement solutions for Multi-Armed Bandit systems and visual feature pipelines.
• Own the end-to-end implementation of defined tasks.
• Proactively identify and fix bottlenecks in systems.
• Participate in design and code reviews, ensuring high technical standards.
• Set up and monitor online experiments to measure feature impact.

Skills

Machine learning engineering

Backend software engineering

Python

SQL

Data processing (Spark, Databricks)

Version control

CI/CD

Tools

PyTorch

TensorFlow

AWS

GCP

Azure

Job description

Overview

Machine Learning Engineer, Presentation and Visual Optimization (45540)

We are seeking a Machine Learning Engineer to join our Presentation pod. While other teams within AMLG focus on the recommender (what to show), our pod owns the visual gateway. Your mission is to implement and scale the ML systems that optimize how content is displayed to capture user attention. You will own the development of specific features and components within our artwork selection, marquee personalization, and carousel design pipelines. You will deliver autonomously on defined technical problems, ranging from bandit-based reward signals to computer vision feature extraction. This role operates in a high-velocity environment where visual and attention optimization are the primary goals, balancing technical quality with delivery pace.

Why This Role Matters

As an individual contributor in the presentation pod, you are the engine of execution. You will:

• Own the Visual Gateway: Deliver the features that identify the first thing millions of users see when they open our apps.


• Drive Systematic Quality: Improve the reliability and velocity of our experimentation systems, ensuring our visual tests are statistically sound and performant.


• Scale Discovery: Build the components that allow us to personalize the look and feel of the platform, not just the content list.

Key Responsibilities

• Feature & Component Ownership: Design and implement specific solutions for Multi-Armed Bandit (MAB) systems and visual feature pipelines.


• Self-governing Delivery: Own the end-to-end implementation of defined tasks, from data ingestion to production deployment, with moderate autonomy.


• System Optimization: Proactively identify and fix bottlenecks in team systems to improve quality, reliability, or engineering velocity.


• Collaborative Quality: Participate actively in design and code reviews, providing constructive feedback and ensuring high technical standards within your scope.


• Data-Driven Execution: Set up and monitor online experiments (A/B tests and bandit rollouts) to measure the impact of presentation features on user interaction.

Basic Qualifications

• 3+ years of experience in machine learning engineering or backend software engineering.


• Proven Delivery: Experience owning and delivering technical features or components autonomously.


• Technical Stack: Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow.


• Data Foundations: Strong skills in SQL and experience with distributed data processing (e.g., Spark or Databricks).


• Engineering Rigor: Familiarity with version control, CI/CD, and writing production-grade, maintainable code.

Additional Qualifications

• Familiarity with Multi-Armed Bandits or Reinforcement Learning concepts. Background in computer vision or image processing.


• Experience in a high-scale streaming or e-commerce environment.


• Experience with Cloud Infrastructure, including AWS, GCP, and Azure.

What We Offer

• Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits


• Generous paid time off.


• An 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.


• Explore life at 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. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, 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, you may request a reasonable accommodation by calling 212.846.5500 or by emailing [e-mail]. This channel is for accommodation requests only.