WHAT MAKES US EPIC?

At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.

Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.

ANALYTICS

What We Do

Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic.

What You'll Do

In this position, you will help guide the technical direction of Epic's Advanced Analytics and ML Services team. The group is responsible for designing and implementing scalable solutions for batch and real-time workloads for serving models and their outputs. We build foundational production-grade systems that support R&D and exploratory stages and serve various business functions across the company, including recommendations, language modeling, graph analytics, and player behavior modeling. The ideal candidate is a highly collaborative individual who is driven first and foremost by seeing the team succeed and is enthusiastic to take on the opportunity to make big advancements and define best practices in Machine Learning at a blazingly fast Big Data scale when building player-facing data products.

In this role, you will

  • 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

What we're looking for

  • 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)
  • Passion for video games and/or video game technology

EPIC JOB + EPIC BENEFITS = EPIC LIFE

We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents.

Pay Transparency Information

The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic’s generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs).

British Columbia Base Pay Range$238,781$350,211 CAD

ABOUT US

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. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.

Like what you hear? Come be a part of something Epic!

Epic Games deeply 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.

Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

Salary

$238,781 - $350,211

Yearly based

Location

Vancouver, British Columbia, Canada

Job Overview
Job Posted:
2 months ago
Job Expires:
Job Type
Full Time

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