Jobs · Engineering · California

ML Platform Engineer

Paramount · Burbank, CA · 1 wk ago
On-siteEngineering$130k–$195k/yrFull-time

About the role

We are seeking a Senior Data Scientist / Machine Learning Engineer / AI Application Engineer who is excited to deploy MLOps products that shape business strategy, optimize content, inform marketing investment decisions, and enhance the user experience. You will build the foundations of our ML platform that will enable the Data Science team to deploy models at web scale, data driving interactions with millions of customers across the globe.

Responsibilities

  • Design and implement our greenfield ML platform 10Xing the Data Science team’s impact
  • Work closely with Data Scientists to understand their development needs
  • Work closely with Stakeholders to understand the business problems driving model deployments and how models can augment their workflows
  • Assess and integrate cutting-edge software and practices in Data Science and MLOps
  • Refactor disjointed data science scripts and workflows into modular 'skills' that act as procedural knowledge for AI agents, streamlining stakeholder interactions.

Key Projects

  • Manage deployment and contribute to models driving Paramount+’s global, financial forecasts
  • Design and implement Paramount’s model deployment platform
  • Design and implement robust monitoring, logging, alerting, and observability of ML deployments
  • Design and implement UIs the enable a variety of stakeholders to interact with DS models
  • Drive adoption of best practices for CI / CD workflows tailored to Data Science
  • Drive adoption of agentic workflows across Data Science and the larger Paramount organization

Qualifications

  • 3+ years experience in Data Science and ML Engineering
  • Deep experience developing as a team in Python
  • Deep experience designing and implementing MLOps platforms in a cloud environment
  • Deep experience implementing CI/CD workflows that manage model deployments
  • Experience developing containerized applications
  • Ability to innovate without over-engineering
  • Familiarity with well-known statistical and ML models and methods
  • Strong detail orientation with a penchant for deployment reliability

Bonus Information

  • Hiring Salary Range: $130,200.00 - 195,300.00
  • Benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement.
  • This position is bonus eligible.

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