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Job Description:
AI/ML Engineer – Decision Automation
Candy Crush Saga | King
Are you motivated by applying machine learning to real-world problems at massive scale?
Join King as an AI/ML Engineer and help shape how Candy Crush Saga makes player-facing decisions, moving from manual tuning to scalable, intelligent decision automation that reaches hundreds of millions of players.
The Role
You’ll join the Decision Automation team within Candy Crush Saga: a cross-functional group of ML engineers working closely with data scientists, analysts, and product partners focused on enabling faster, smarter, and more player-centric decisions across the game.
Your work will contribute to ML systems that automate and personalize player-facing decisions at scale, reducing manual operational work while improving player experience and business outcomes. You’ll collaborate closely with senior ML engineers and gradually grow your technical ownership, scope, and influence as you gain context and confidence.
Our mission is to evolve from feature-by-feature manual tuning toward holistic, player-centric decision systems. The team works across areas such as:
With 250+ million monthly active users, the systems you help build will operate at significant scale. You’ll work closely with product managers, analysts, designers, and engineers to deliver production-ready ML solutions that are robust, observable, and impactful.
We value curiosity, ownership, and learning by doing, and we actively support engineers as they grow their skills and take on greater responsibility.
What You’ll Do
Machine Learning Experience
With a mission of Making the World Playful, King is a leading interactive entertainment company with more than 20 years of history of delivering some of the world’s most iconic games in the mobile gaming industry, including the world-famous Candy Crush franchise, as well as other mobile game hits such as Farm Heroes Saga. King games are played by more than 200 million monthly active users. King, part of Microsoft (NASDAQ: MSFT), has Kingsters in Stockholm, Malmö, London, Barcelona, Berlin, Dublin, San Francisco, New York, Los Angeles and Malta. More information can be found at King.com or by following us on LinkedIn, @lifeatking on Instagram, or @king_games on X.
Technology & Development
Job Description:
AI/ML Engineer – Decision Automation
Candy Crush Saga | King
Are you motivated by applying machine learning to real-world problems at massive scale?
Join King as an AI/ML Engineer and help shape how Candy Crush Saga makes player-facing decisions, moving from manual tuning to scalable, intelligent decision automation that reaches hundreds of millions of players.
The Role
You’ll join the Decision Automation team within Candy Crush Saga: a cross-functional group of ML engineers working closely with data scientists, analysts, and product partners focused on enabling faster, smarter, and more player-centric decisions across the game.
Your work will contribute to ML systems that automate and personalize player-facing decisions at scale, reducing manual operational work while improving player experience and business outcomes. You’ll collaborate closely with senior ML engineers and gradually grow your technical ownership, scope, and influence as you gain context and confidence.
Our mission is to evolve from feature-by-feature manual tuning toward holistic, player-centric decision systems. The team works across areas such as:
- In-game decision automation and personalization systems
- Causal and applied ML for game and player analysis
- Experimentation and measurement improvements
With 250+ million monthly active users, the systems you help build will operate at significant scale. You’ll work closely with product managers, analysts, designers, and engineers to deliver production-ready ML solutions that are robust, observable, and impactful.
We value curiosity, ownership, and learning by doing, and we actively support engineers as they grow their skills and take on greater responsibility.
What You’ll Do
- Build, deploy, and operate ML-powered systems that automate player-facing decisions at scale
- Translate problem statements and hypotheses into production ML solutions, including feature engineering, model implementation, validation, deployment, and monitoring
- Design and maintain data and ML pipelines with a focus on performance, reliability, and maintainability in a high-volume environment
- Contribute to experimentation, evaluation, and measurement frameworks to ensure decisions are data-driven and player-centric
- Collaborate closely with senior ML engineers to improve modeling approaches, system design, and operational practices
- Work with cross-functional partners in product, design, analytics, and engineering to scope and deliver ML use cases end-to-end
- Contribute to shared standards, tooling, and best practices for production ML within the team and wider ML community at King
Machine Learning Experience
- Experience applying machine learning in production environments, such as personalization, optimization, or process automation
- Solid understanding of AI/ML modeling methodologies, evaluation strategies, and data trade-offs
- Strong Python skills and solid SQL fundamentals
- Experience working with production data and pipelines
- Familiarity with cloud-based data or ML platforms (GCP experience is a plus)
- Comfortable working in cross-functional teams with non-ML stakeholders
- Able to communicate technical ideas clearly and pragmatically
- Curious, proactive, and motivated to learn new technologies and approaches
- Exposure to personalization systems, recommender systems, or large-scale experimentation
- Interest in games and player behavior
With a mission of Making the World Playful, King is a leading interactive entertainment company with more than 20 years of history of delivering some of the world’s most iconic games in the mobile gaming industry, including the world-famous Candy Crush franchise, as well as other mobile game hits such as Farm Heroes Saga. King games are played by more than 200 million monthly active users. King, part of Microsoft (NASDAQ: MSFT), has Kingsters in Stockholm, Malmö, London, Barcelona, Berlin, Dublin, San Francisco, New York, Los Angeles and Malta. More information can be found at King.com or by following us on LinkedIn, @lifeatking on Instagram, or @king_games on X.
Key Skills
Ranked by relevance
machine learning
product design
python
cloud
sql
gcp
san
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- Posted
- Apr 01, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Stockholm
- Company
- King
Industries
Computer Games
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
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Senior Tools Developer
2026-04-08
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View Job Details
Related
Senior Gameplay Engineer 1
2026-04-09
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View Job Details
Related
Senior Game Data Analyst (World of Tanks, PC)
2026-04-02
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