Lead Data Scientist and Machine Learning Architect

3 days ago

Montreal, Quebec, Canada Epic Games Full time

We are seeking a highly skilled Lead Data Scientist and Machine Learning Architect to join our Advanced Analytics and ML Services team at Epic Games.

About the Role

This is an exciting opportunity to guide the technical direction of our team, focusing on building foundational production-grade systems that support R&D and exploratory stages. You will work closely with stakeholders, software and data programming teams, and analytics leadership to prioritize solutions and ensure incremental delivery in ways that drive the most impact while aiming for longer-term visions.

In this role, you will champion cross-functional Machine Learning integration efforts, driving integrations across the data ecosystem. You will also lead and be a pivotal part of the Machine Learning leadership team with direct reports. Additionally, you will stay connected to the systems being built across the organization, working directly on design, planning, architecture, and execution.

You will collaborate with other technical leaders across Epic to foster cross-company visibility and alignment on technical approaches. Furthermore, you will mentor and coach Data Scientists and programmers across the organization.

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 in ways that drive the most impact while aiming for longer-term visions
  • Lead and also be a pivotal part of 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
  • Mentor and coach Data Scientists and programmers across the organization
Requirements

To be successful in this role, you will require a minimum of 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 is essential. You should be 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, are required.

Ideal candidates have 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, is beneficial. Expertise in one or more programming languages (Python preferred, Scala and Java beneficial, GoLang is also a plus) is necessary.

Additionally, passion for video games and/or video game technology is a must.

What We Offer

We offer an estimated salary range of $180,000 - $250,000 per annum, depending on experience and qualifications. Our benefits package includes 100% coverage for medical, dental, vision, critical illness, telemedicine, Life and AD&D, long-term disability insurance, weekly indemnity (short-term disability), and a retirement savings plan with a competitive employer match. We also provide a robust mental well-being program through Modern Health, which offers free therapy and coaching for employees and dependents.

Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before.

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