Senior Machine Learning Engineer- LiveOps Automation

Scopely; Barcelona; Presencial; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

An innovative gaming company is seeking a Senior Machine Learning Engineer to join its LiveOps Automation team in Barcelona. This role emphasizes building cutting-edge ML tools to enhance player experiences and redefine game management in the gaming industry. Ideal candidates will have a strong background in ML technologies, proven coding skills, and experience with cloud services. Join a diverse team passionate about shaping the future of gaming and delivering high-quality experiences to millions of players worldwide.

Formación

• Deep understanding of ML technologies development and best practices.
• Highly experienced in developing production quality ML platforms.
• Experience with automated testing practices.

Responsabilidades

• Build and maintain cloud-native infrastructure for ML models.
• Contribute to technical plans and define team's roadmap for ML.
• Validate data science prototypes and transform them into production-usable ML models.

Conocimientos

Machine Learning

Coding (Python, Java, C++)

Cloud Services (AWS, Azure, GCP)

Data Science Prototyping

Herramientas

PyTorch

TensorFlow

Seldon Core

MXNet

Descripción del empleo

Senior Machine Learning Engineer- LiveOps Automation

ES - Barcelona, Spain; ES - Spain

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.

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 iswww.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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