AI/ML Engineer

Stockholm Stockholm County 111 57 Sweden 9 hours ago Job Description: AI/ML Engineer

• Decision Automation Are you motivated by applying machine learning to real-world problems at massive scale?XXXX XXXX as anAI/ML Engineerand 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. You’ll join theDecision Automation teamwithin Candy Crush Saga: a cross-functional group of ML engineers working closely with data scientists, analysts, and product partners focused on enablingfaster, smarter, and more player-centric decisionsacross 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 towardholistic, player-centric decision systems. The team works across areas such as: In-game decision automation and personalization systems In-game decision automation and personalization systems Causal and applied ML for game and player analysis Causal and applied ML for game and player analysis Experimentation and measurement improvements Experimentation and measurement improvements You’ll contribute to different parts of this space based on team priorities and your strengths, with opportunities to deepen expertise over time. With250+ 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 deliverproduction-ready ML solutionsthat 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 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 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 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 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 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 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 Contribute to shared standards, tooling, and best practices for production ML within the team and wider ML community at King What You Bring Machine Learning Experience Experience applying machine learning in production environments, such as personalization, optimization, or process automation 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 Solid understanding of AI/ML modeling methodologies, evaluation strategies, and data trade-offs Software & Data Engineering Strong Python skills and solid SQL fundamentals Strong Python skills and solid SQL fundamentals Experience working with production data and pipelines Experience working with production data and pipelines Familiarity with cloud-based data or ML platforms (GCP experience is a plus) Familiarity with cloud-based data or ML platforms (GCP experience is a plus) Collaboration & Mindset Comfortable working in cross-functional teams with non-ML stakeholders Comfortable working in cross-functional teams with non-ML stakeholders Able to communicate technical ideas clearly and pragmatically Able to communicate technical ideas clearly and pragmatically Curious, proactive, and motivated to learn new technologies and approaches Curious, proactive, and motivated to learn new technologies and approaches Nice to Have Exposure to personalization systems, recommender systems, or large-scale experimentation Exposure to personalization systems, recommender systems, or large-scale experimentation Interest in games and player behavior 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 Sag a. 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 atKing.comor by following us onLinkedIn,@lifeatkingon Instagram, or@king_gameson X.