Engineering Manager - LiveOps Automation

10 Hours ago • All levels

Job Summary

Job Description

The Engineering Manager will lead the Machine Learning Engineers team, focusing on unleashing ML capabilities for LiveOps teams. Responsibilities include team management, technical leadership, and contributing to technical direction and planning. They will design, develop, and research ML systems, models, and workflows. The role involves collaborating with stakeholders, ensuring timely delivery of ML-driven features, managing project priorities, and promoting engineering best practices. They will also provide mentorship and support to team members and help create a psychologically safe environment for growth. This role requires hands-on work, including building and maintaining cloud-native infrastructure for hyperscale ML model training and serving.
Must have:
  • Excellent written and verbal English communication skills
  • Strong leadership skills with engineering team guiding experience
  • Deep understanding of ML technologies and best practices
  • Experience delivering performant ML platforms at scale
  • Experience with at least one of: Amazon Redshift, Google BigQuery, or Azure SQL Data Warehouse
  • Strong coding ability in a mainstream programming language
  • Experience with at least one major public cloud provider
  • Great tech communicator sharing knowledge with non-technical people
  • Experience with cross-functional teams in large organizations
  • Seek and take on user feedback to drive development
  • Love games!
Good to have:
  • Experience building, managing, and maintaining MLOps platforms
  • Experience building recommendation systems
  • Free-to-play games product knowledge

Job Details

Scopely is looking for an Engineering Manager to join our LiveOps Automation team within our Midcore division in Spain on a remote basis.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

The LiveOps Automation team are responsible for building a sophisticated suite of LiveOps tools driven by Machine Learning (ML) for enhancing player experience within Midcore games. This initiative will implicitly change how Midcore manages its games in perpetuity. 

We are seeking a creative and highly motivated Engineering Manager with ML expertise to join Scopely’s LiveOps Automation team. This role will focus on leading the ML Engineers team, which works to unleash ML capabilities for LiveOps teams on different gaming platforms.

What You Will Do

As an Engineering Manager, your day-to-day responsibilities will involve team management with technical leadership. You will contribute to the team’s technical direction and planning while leading the design, development, and research of ML systems, models, and workflows. You’ll be expected to collaborate closely with stakeholders to gather requirements, align on goals, and ensure the timely delivery of ML-driven features. In addition, you will play a key role in shaping and refining the vision for ML products within the team, managing project priorities, promoting engineering best practices, and providing mentorship and support to team members. You’ll help create an environment of psychological safety, guiding performance and growth conversations while fostering a strong culture of collaboration and accountability.

  • Lead and mentor a team of Machine Learning Engineers / Data Scientists, providing guidance on technical and professional growth. 
  • Contribute to technical plans, and discuss areas of opportunity and requirements with stakeholders.
  • Collaborate on defining the team’s roadmap and vision for ML within the Mid-Core division.
  • Validate data science prototypes with stakeholders and transform them into production-usable ML models.
  • Work with other developers to implement tools that empower our Live Operators and Game Design teams to create new and exciting game experiences. This role requires hands-on work.
  • Building and maintaining cloud-native infrastructure for hyperscale ML models training and serving.
  • LiveOps Automation toolsuite support & troubleshooting.

What We're Looking For

  • Excellent written and verbal English communication skills 
  • A passion for solving complex problems and translating business needs into robust solutions 
  • Strong leadership skills with a track record of guiding and growing engineering teams. 
  • A deep understanding of ML technologies development and best practices.
  • Experience delivering production quality, highly performant ML platforms at scale.
  • Experience in at least one of the following: Amazon Redshift, Google BigQuery, or Azure SQL Data Warehouse.
  • Very strong coding ability, and experience in development in at least one mainstream programming language (Python, Java, C++, etc.).
  • Experience with at least one major public cloud provider (AWS / Azure / GCP).
  • You’re a great tech communicator who can share knowledge with non-technical people.
  • You have worked with cross-functional teams in large organizations.
  • You desire to seek out and take on user feedback to drive world-class application development.
  • You love games!

Bonus Points

  • Experience building, managing, and maintaining MLOps platforms.
  • Experience building recommendation systems.
  • Free-to-play games product knowledge

About Us

Scopely is a global interactive entertainment and mobile-first video game company, home to many top, award-winning experiences such as "MONOPOLY GO!," “Star Trek™ Fleet Command,” “Stumble Guys,” “MARVEL Strike Force,” and “Yahtzee® With Buddies,” among others.
 
Scopely creates, publishes, and live-operates immersive games that empower a directed-by-consumer™ experience across multiple platforms--from mobile, web, PC and beyond.
 
Founded in 2011, Scopely is fueled by a world-class team and a proprietary technology platform Playgami that supports one of the most diversified portfolios in the games industry.

Recognized multiple times as one of Fast Company’s “World’s Most Innovative Companies,” Scopely is a multi-billion-dollar business due to its ability to create long-lasting game experiences that players enjoy for years.

Scopely has global operations in more than a dozen markets across Asia, EMEA, and North America, and is home to many internal game development teams, referred to as Scopely Studios, with additional game studio partners across four continents.

Scopely was acquired by Savvy Games Group in July 2023 for $4.9 billion, and is now an independent subsidiary of Savvy.

For more information on Scopely, visit: scopely.com

Notice to candidates: Scopely, Inc and its affiliates will never request payment or ask for financial information as a condition for applying to a position or receiving an offer of employment. All official Scopely, Inc. recruiters only use email domains that end with @scopely.com. 
 
Our official website is www.scopely.com. Please only apply to positions posted on our official website and ensure the recruiter only communicates via the official email domain. 

Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice.

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