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описание
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, played by more than 200 million monthly active users.
задачи
Influence technical direction across Candy Crush Saga in AI/ML and decisioning through credibility, clarity, and delivery;
Write production code, develop technical prototypes, and implement critical-path solutions;
Set production AI/ML engineering standards for reliability, observability, maintainability, and execution quality;
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 Candy Crush Saga components;
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.
требования
Deep experience building and shipping production AI/ML systems with meaningful business impact;
Strong applied expertise in personalization and causal inference;
Experience connecting AI/ML methodology with 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;
Ability to represent technical work in high-visibility internal and external forums;
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.
условия
The role is available in Stockholm, Barcelona, and London.