Machine Learning Engineer

Machine Learning Engineer, Sign-Up Flow Optimization

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.

Key Responsibilities:

• 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.

Basic Qualifications:

• 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, TensorFlow), data processing frameworks (e.g., Spark, Beam, BigQuery), and production ML workflows.

Why Join Us:

• 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 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.