Leading Machine Learning Architect for Large-Scale Data Systems

3 days ago


Montreal, Quebec, Canada Houston Texans Full time

Epic Games is a global leader in game technology and entertainment, with a team of world-class talent across 25 countries and 46 studios. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning experiences.

About the Role

We're seeking an experienced Machine Learning Architect to lead our Advanced Analytics and ML Services team. As a technical director, you will help drive the technical direction of our team and build foundational production-grade systems that support R&D and exploratory stages. You'll work closely with stakeholders, software and data programming teams, and analytics leadership to prioritize solutions and ensure incremental delivery.

Key Responsibilities
  • Champion cross-functional Machine Learning integration efforts, driving integrations across the data ecosystem
  • Work closely with stakeholders, software and data programming teams, and analytics leadership to prioritize solutions and ensure incremental delivery
  • Lead and mentor the Machine Learning leadership team with direct reports
  • Stay connected to the systems being built across the organization, working directly on design, planning, architecture, and execution
  • Collaborate with other technical leaders across Epic to foster cross-company visibility and alignment on technical approaches
Requirements
  • Minimum 5 years of senior-level Data Science and Machine Learning Programming experience in a data-driven information environment, designing and implementing analytic/data systems, ideally in a AAA video gaming or streaming entertainment context and at a similar scale
  • Prior experience in a technical leadership role
  • Detail-oriented and comfortable working with requirements that are open-ended
  • Deep experience and familiarity with cloud-based big data tools and services for real-time and batch ML applications, such as Kafka, Spark and MLOps tools (MLFlow Preferred), to serve API-first data products following microservice architecture
  • Ideal candidate has strong experience building infrastructure for recommendation engines and hyper personalization
  • Experience working in a cloud-based environment, ideally familiar with the AWS and Databricks toolset
  • Expertise in one or more programming languages (Python preferred, Scala and Java beneficial, GoLang is also a plus)
What We Offer

We offer a competitive salary of $150,000 per year, paid time off, and comprehensive benefits, including health insurance, retirement savings plan, and mental well-being program through Modern Health. Our company values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here.



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