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Scopely

Senior Machine Learning Engineer- LiveOps Automation

Reposted 16 Days Ago
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In-Office or Remote
Hiring Remotely in Spain
Senior level
Easy Apply
In-Office or Remote
Hiring Remotely in Spain
Senior level
The Senior Machine Learning Engineer will develop ML tools for the LiveOps Automation team, improving player experiences and guiding less experienced members.
The summary above was generated by AI

Scopely is looking for a Senior Machine Learning Engineer to join our LiveOps Automation team 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 worldwide daily.                  

The LiveOps Automation team builds a suite of ML powered tools to enhance player experiences across Scopely’s Live Games Portfolio. This initiative has a long term impact on how games are operated, how game economies are balanced, and the experience of millions of daily active players.       

What You Will Do          

In the LiveOps Automation team, you will:

  • Gain an extensive understanding of how games operate, how they are designed, and how they keep their audience engaged over time.
  • Drive ML projects end-to-end: business requirements with stakeholders, technical specs, solution design/validation, data modeling, prototyping, A/B testing, deployment, monitoring, and iteration.
  • Transform and analyze player data to validate assumptions, understand user behaviour, and develop algorithmic/ML solutions.
  • Work together, as one team: communicate clearly, ask for help early, and proactively support others.
  • Partner with Senior MLEs, Engineering Managers and Product teams to identify improvements and raise the bar across the team and portfolio.
  • Contribute to the roadmap and vision for ML-driven automation across Scopely’s live games.
  • Mentor and serve as a role model for less experienced team members.
  • Build and maintain cloud-native infrastructure for large-scale model training and serving.
  • Implement tools that empower LiveOps and Game Design teams to create new and exciting gameplay experiences.
  • Support and troubleshoot the LiveOps Automation tool suite.

What We’re Looking For            

We are looking for a creative and highly motivated Senior ML Engineer with experience in most of the following areas:

  • Proactive, creative problem-solver: you enjoy tackling ambiguous problems and “figuring it out” with practical solutions.
  • Strong team player: You collaborate openly, share context, and help others succeed.
  • Strong numerical background: engineering, computer science, machine learning, mathematics, or statistics.
  • Hands-on experience driving solutions using algorithms, heuristics, machine learning, and analytical approaches.
  • Pragmatic engineering mindset: you know when to take shortcuts, and that done is better than perfect.
  • Experience delivering production-quality ML products (batch and real-time serving, monitoring, alerting, automated unit, integration, and end-to-end tests).
  • Strong coding skills in at least one mainstream language (Python, Java, C++), plus experience with a major cloud provider (AWS / Azure / GCP).

Bonus Points            

  • Experience in the gaming industry.
  • Experience with Airflow and dbt.
  • Experience in A/B testing (design, analysis, guardrails, pre-test bias, significance), causal inference, and Bayesian statistics.
  • Experience building, managing, and maintaining MLOps platforms

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 Scopely

Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.

Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Niantic games businesses — Scopely consistently delivers experiences players love today and return to for years to come.

Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.

Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/. 

Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com.

Top Skills

Amazon Redshift
AWS
Azure
Azure Sql Data Warehouse
C++
GCP
Google Bigquery
Java
Machine Learning
Mxnet
Python
PyTorch
TensorFlow

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