Machine Learning Engineer, Sign-Up Flow Optimization

Paramount • West Hollywood, CA

3d

About The Position

Paramount is building the next generation of personalization and discovery across its global streaming platforms. This role focuses on contributing to high-impact initiatives within the Paramount+ and Pluto TV sign-up/registration flow. The Machine Learning Engineer will help shape how millions of viewers discover content and 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 involving ML modeling, retrieval and ranking systems, embeddings, experimentation, and real-time user understanding.

Requirements

• 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.

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.

Benefits

• medical
• dental
• vision
• 401(k) plan
• life insurance coverage
• disability benefits
• tuition assistance program
• PTO
• bonus eligible

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed