AI/ML Engineer

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 RoleYou’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 systemsCausal and applied ML for game and player analysisExperimentation and measurement improvementsYou’ll contribute to different parts of this space based on team priorities and your strengths, with opportunities to deepen expertise over time.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 DoBuild, deploy, and operate ML-powered systems that automate player-facing decisions at scaleTranslate problem statements and hypotheses into production ML solutions, including feature engineering, model implementation, validation, deployment, and monitoringDesign and maintain data and ML pipelines with a focus on performance, reliability, and maintainability in a high-volume environmentContribute to experimentation, evaluation, and measurement frameworks to ensure decisions are data-driven and player-centricCollaborate closely with senior ML engineers to improve modeling approaches, system design, and operational practicesWork with cross-functional partners in product, design, analytics, and engineering to scope and deliver ML use cases end-to-endContribute to shared standards, tooling, and best practices for production ML within the team and wider ML community at KingWhat You BringMachine Learning ExperienceExperience applying machine learning in production environments, such as personalization, optimization, or process automationSolid understanding of AI/ML modeling methodologies, evaluation strategies, and data trade-offsSoftware & Data EngineeringStrong Python skills and solid SQL fundamentalsExperience working with production data and pipelinesFamiliarity with cloud-based data or ML platforms (GCP experience is a plus)Collaboration & MindsetComfortable working in cross-functional teams with non-ML stakeholdersAble to communicate technical ideas clearly and pragmaticallyCurious, proactive, and motivated to learn new technologies and approachesNice to HaveExposure to personalization systems, recommender systems, or large-scale experimentationInterest in games and player behaviorAbout KingWith 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.