Technical Director, Machine Learning Programmer

Job Description

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

This role is open to multiple locations in North America (including CA & WA).

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).

California Base Pay Range

$206,354 — $302,652 USD

Washington Base Pay Range

$187,594 — $275,138 USD

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.

Jobcode: Reference SBJ-g6ow49-3-17-174-204-42 in your application.