Senior Machine Learning Engineer- LiveOps Automation

Scopely is seeking a Senior Machine Learning Engineer for the LiveOps Automation team in Spain, offering hybrid or remote work. This role involves building sophisticated ML-driven LiveOps tools to enhance player experience in Midcore games. You will contribute to technical plans, define the team's ML roadmap, transform data science prototypes into production models, and build/maintain cloud-native infrastructure for hyperscale ML models. The position focuses on empowering Live Operators and Game Design teams with ML capabilities across various gaming platforms.

Must Have

• Contribute to technical plans, discussing areas of opportunity and requirements with stakeholders.
• Define 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.
• Building and maintaining cloud-native infrastructure for hyperscale ML models training and serving.
• Work with other developers to implement tools to empower Live Operators and Game Design teams.
• LiveOps Automation toolsuite support & troubleshooting.
• Deep understanding of ML technologies development and best practices.
• Highly experienced delivering production quality, highly performant ML platforms.
• Experience with machine Learning Frameworks (PyTorch, MXNet, Tensorflow, etc.) and model serving frameworks (Seldon Core, TorchServe, TensorFlow Serving, etc.).
• 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).
• Experience writing and maintaining automated unit, integration, and end-to-end tests.

Good to Have

• Experience building, managing, and maintaining MLOps platforms.
• Experience in at least one of the following: Amazon Redshift, Google BigQuery, or Azure SQL Data Warehouse.
• Experience building recommendation systems.
• Mentored less experienced team members.

Scopely is looking for a Senior Machine Learning Engineer to join our LiveOps Automation team in Spain on a hybrid or 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 worldwide 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.

What You Will Do

You’ll be joining the LiveOps Automation team at Scopely. We are responsible for building a sophisticated suite of LiveOps tools driven by Machine Learning (ML) automation and decision-making. This will change how Midcore manages its games in the future. We are looking for a creative and highly motivated Senior ML Engineer to join the Scopely LiveOps Automation Team. This role will focus on unleashing ML capabilities for LiveOps teams that work on different gaming platforms.

• Contribute to technical plans, discussing areas of opportunity and requirements with stakeholders.
• Define the team’s roadmap and vision for ML within the Mid-Core division.
• Serve as a role model for less experienced team members.
• Validate data science prototypes with stakeholders and transform them into production-usable ML models.
• Building and maintaining cloud-native infrastructure for hyperscale ML models training and serving.
• Work with other developers to implement tools to empower our Live Operators and Game Design teams to create new and exciting game-play experiences.
• LiveOps Automation toolsuite support & troubleshooting.

What We’re Looking For

• A deep understanding of ML technologies development and best practices
• Highly experienced delivering production quality, highly performant ML platforms
• Experience with machine Learning Frameworks (PyTorch, MXNet, Tensorflow, etc.) and model serving frameworks (Seldon Core, TorchServe, TensorFlow Serving, etc.)
• Very strong coding ability, and experience in development in at least one mainstream programming language (Python, Java, C++ etc.) and with at least one major public cloud provider (AWS / Azure / GCP)
• Experience writing and maintaining automated unit, integration, and end-to-end tests

Bonus Points

• Experience building, managing, and maintaining MLOps platforms
• Experience in at least one of the following: Amazon Redshift, Google BigQuery, or Azure SQL Data Warehouse
• Experience building recommendation systems
• You’ve mentored less experienced team members

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

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.

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Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

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