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Senior Machine Learning Engineer - LiveOps Automation

Scopely

Full-time
Spain
machine learning
automation
engineer
python
aws
Apply for this position

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!

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About the job

Full-time
Spain
Senior Level
Posted 2 weeks ago
machine learning
automation
engineer
python
aws

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Senior Machine Learning Engineer - LiveOps Automation

Scopely

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!

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