Machine Learning Engineer

#We Are Paramount  on a mission to unleash the power of content... you in?

We've got the brands, we've got the stars, we've got the powerto achieve our mission to entertain the planet - now all we're missing is... YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture.

Paramount is building the next generation of personalization and discovery across our global streaming platforms, and we are looking for a Machine Learning Engineer to contribute to high-impact initiatives across the Paramount+ and Pluto TV sign-up/registration flow. In this role, you will help shape how millions of viewers discover films, series, live sports, and news on Paramount+, Pluto TV, and our future streaming products.

You will work closely with senior engineers and applied scientists to build and deploy production systems that improve engagement, retention, and viewer satisfaction. This is a highly collaborative technical role where you will contribute to innovation at the intersection of ML modeling, retrieval and ranking systems, embeddings, experimentation, and real-time user understanding.

• Contribute to the design and development of personalization in the Paramount+ sign-up flow and Pluto TV registration experiences.
• Build and maintain end-to-end machine learning pipelines, including data processing, feature engineering, model training, deployment, and monitoring.
• Partner with product, design, content, platform engineering, and data science teams to deliver measurable user outcomes.
• Support the development of semantic search and browse experiences using embeddings, query understanding, and domain-specific model architectures.
• Apply experimentation best practices, including A/B testing and offline evaluation, to inform model and feature improvements.
• Collaborate with and learn from senior engineers and scientists, contributing to a strong and growing Applied ML culture.

• 3-7+ years of experience in machine learning engineering, applied science, recommender systems, or large-scale search/ranking systems.
• Experience building and deploying ML systems in production environments.
• Solid understanding of modeling techniques such as representation learning, embeddings, and basic recommendation or ranking approaches.
• Familiarity with experimentation methodology, A/B testing, and metric evaluation.
• Ability to work collaboratively in cross-functional teams and contribute to shared technical goals.
• Proficiency with modern ML tooling (e.g., PyTorch, Tensor Flow), data processing frameworks (e.g., Spark, Beam, Big Query), and production ML workflows.

• Impact:
  Your work will directly shape how hundreds of millions of users get to their content.
• Influence:
  You will help define our personalization architecture and grow a senior ML team.
• Innovation:
  Work alongside experts across Core ML, Causal Science, Content Understanding, and ML Platform.
• Growth:
  Paramount is investing heavily in personalization and foundational AI capabilities-this is a ground-floor opportunity to build what comes next.

Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment.

Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME.

Hiring Salary Range: $ - .

The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay…