ml engineer for mobile gaming

King is a leading interactive entertainment company for the mobile world. It develops iconic mobile games, including the Candy Crush franchise and Farm Heroes Saga, with around 200 million players each month.

• Influence technical direction across Candy Crush Saga in AI/ML and decisioning through credibility, clarity, and delivery;
• Stay hands-on through production coding, technical prototyping, and implementation work on critical paths;
• Set a high bar for production AI/ML engineering, including reliability, observability, maintainability, and quality of execution;
• Mentor senior engineers and raise the standard of technical judgment, design quality, and cross-team collaboration;
• Lead the shared architecture for AI/ML and automated decisioning systems used across multiple components in Candy Crush Saga;
• Help unify fragmented approaches into reusable technical foundations that improve consistency, speed, and scalability;
• Partner with product and game teams to turn high-value opportunities into reusable capabilities rather than one-off solutions.

• Deep experience building and shipping production AI/ML systems with meaningful business impact;
• Strong applied expertise in areas such as personalization and causal inference;
• Track record of connecting AI/ML methodology with real production guardrails, constraints, and operational use;
• Proven ability to influence technical direction across teams through credibility, clarity, and execution;
• Experience defining shared patterns, technical standards, or architectural direction in complex environments;
• Ability to lead senior-level technical discussions with substance and precision;
• Excellent communication skills for explaining complex technical ideas to technical and non-technical audiences;
• Proven ability to influence across departments and align teams around shared technical direction;
• Strong mentoring capability, especially with senior engineers and technical leaders;
• Comfortable representing technical work in high-visibility forums, internally and externally;
• Ability to shape product bets through technical insight and co-create reusable capabilities with cross-functional partners;
• Effective collaboration across engineering, analytics, product, and platform teams;
• Strong judgment in translating business goals into scalable technical systems;
• Nice to have: experience with large-scale experimentation platforms, personalization systems, or decisioning infrastructure, familiarity with game technology, player-facing optimization, or content adaptation systems, experience reducing fragmented or bespoke ML workflows into shared technical foundations.

• The role is available in Stockholm, Barcelona, and London.