Machine Learning Engineer Presentation and Visual Optimization

Machine Learning Engineer, Presentation and Visual Optimization (45540) Overview

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.

In this role, you will be expected to deliver autonomously on defined technical problems, ranging from bandit-based reward signals to computer vision feature extraction. You will work in a high‑velocity environment where visual and attention optimization are the primary goals, requiring you to balance technical quality with delivery pace.

As an individual contributor in the presentation pod, you are the engine of execution. In this role, 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.

• 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.

• 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 Tensor Flow.
• 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.

• 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.

Hiring Salary Range: $ - $. 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. This position is bonus eligible.

The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program, and PTO.

• Attractive compensation and comprehensive benefits packages.
• 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:

Paramount is an equal opportunity employer (EOE) including disability/vet. Paramount is 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  as a result of your disability. You can request reasonable accommodations by calling  or by sending an email to paramoun Only messages left for this purpose will be returned.

Nearest Major Market:
Manhattan

Nearest Secondary Market:
New York City