Principal Machine Learning Engineer
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Job Description
Principal Machine Learning Engineer leading high-impact ML initiatives for Paramount Streaming. Focused on optimizing sign-up flows and delivering a personalized viewer experience through advanced modeling techniques.
Responsibilities:
- Lead the design and development of personalization in the P+ sign-up flow and Pluto TV registration flows.
- Own end-to-end machine learning pipelines—from data and feature engineering to training, deployment, serving, and monitoring.
- Partner closely with product, design, content, platform engineering, and data science to define roadmaps and deliver measurable user outcomes.
- Advance our semantic search and browse experience through state-of-the-art embeddings, query understanding, and domain-specific model architectures.
- Establish high-integrity experimentation practices, improve offline→online correlation, and guide feature rollouts with strong scientific rigor.
- Mentor engineers and scientists, develop technical talent, and help shape the culture of our growing Applied ML organization.
Requirements:
- 7–10+ years of experience in machine learning engineering, applied science, recommender systems, multi-armed bandits, or large-scale search/ranking systems.
- Demonstrated expertise deploying ML systems in high-traffic, real-time production environments.
- Deep knowledge of modeling techniques such as representation learning, multi-task learning, multi-modal embeddings, contextual bandits, and session modeling.
- Strong fluency in experimentation methodology, A/B testing, causal reasoning, and metric design.
- Experience leading and mentoring technical teams; ability to drive strategy while remaining hands-on.
- Proficiency with modern ML tooling (PyTorch, TensorFlow), big-data environments (Spark, Beam, BigQuery), and production MLOps workflows.
Benefits:
- Medical
- Dental
- Vision
- 401(k) plan
- Life insurance coverage
- Disability benefits
- Tuition assistance program
- PTO
- Bonus eligible
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