Technical Director, Machine Learning Programmer

1 Day ago • 5 Years + • Backend Development • Data Analyst • $168,000 PA - $245,000 PA

Job Summary

Job Description

As a Technical Director, Machine Learning Programmer at Epic Games, you'll guide the technical direction of the Advanced Analytics and ML Services team. Responsibilities include designing and implementing scalable solutions for batch and real-time ML workloads, building production-grade systems supporting R&D and various business functions (recommendations, language modeling, etc.). You'll champion cross-functional ML integrations, collaborate with stakeholders and teams, lead and mentor data scientists and programmers, and ensure alignment on technical approaches across the company. The role demands experience with cloud-based big data tools (Kafka, Spark, MLFlow), building infrastructure for recommendation engines, and expertise in Python (Scala/Java beneficial).
Must have:
  • 5+ years senior-level Data Science & ML experience
  • Technical leadership experience
  • Cloud-based big data tools expertise (Kafka, Spark, MLFlow)
  • Experience building recommendation engines
  • Python programming expertise
Good to have:
  • Scala/Java/GoLang experience
  • AWS and Databricks familiarity
Perks:
  • 100% employer-paid benefits for employees and dependents
  • Supplemental medical, dental, vision, etc.
  • Robust mental well-being program
  • Retirement savings plan with employer match

Job Details

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
$231,401$339,387 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 .

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 .

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About The Company

Founded in 1991, Epic Games is a leading interactive entertainment company and provider of 3D engine technology. Epic operates Fortnite, one of the world’s largest games with over 350 million accounts and 2.5 billion friend connections. Epic also develops Unreal Engine, which powers the world’s leading games and is adopted across industries such as film and television, architecture, automotive, manufacturing, and simulation. Through Unreal Engine, Epic Games Store, and Epic Online Services, Epic provides an end-to-end digital ecosystem for developers and creators to build, distribute, and operate games and other content. Epic has over 40 offices worldwide with headquarters in Cary, North Carolina.

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