AI/ML Engineer

Craft:

Data, Analytics & Strategy

Job Description:

AI/ML Engineer – Operable Level Ecosystem

Job Description

Do you have a dynamic approach to solving Machine Learning problems at scale? Are you passionate about building machine learning (ML) tools for level designers? Do you believe machine learning (ML) can have a material impact on how we do business and want to be a part of the journey to help teams, companywide, enhance our players’ experiences? Then you could be our new, shiny, AI/ML Engineer!

Your role within our Kingdom

You´ll be part of a team in Shared Tech Game Operations department. Working alongside Level Designers and Game Developers to develop and scale ML models that enhance level creation and optimization across multiple games. Our mission? To drive innovation in AI-powered level design, automate playtesting, and advance procedural content generation, enabling faster, smarter, and more engaging game experiences. As part of this, you will contribute to achieving our Operable Level Ecosystem Strategy — empowering game teams with targeted AI-driven automation tools, real-time analytics, and workflow optimization to improve efficiency and enhance game design processes.

As AI/ML Engineer at King, you will be using the latest technologies to build ML products that empowers game design workflows across the company. With over 250+ million monthly active users and 50 billion events being uploaded daily, it’s key that you care about ML methodologies and latest ML advancements. You’ll be working with both tabular and non-tabular data, directly integrated in our products, in a highly ambitious technical environment.

Skills To Create Thrills

So, what about you? You are part of a Shared Tech Levels team, and you’re an advocate of data storytelling. You’re also passionate for building ML-powered features that accelerates the level creation and operations ecosystem. You also have experience in some of the following areas:

• Statistical Analysis
• Building data pipelines and ML pipelines
• GCP data products (VertexAI, BigQuery, Cloud Storage, Dataflow, to name a few) or products from other cloud providers
• Familiar with TensorFlow or PyTorch
• ML model and ML product Monitoring
• Software Engineering skills
• Development in or exposure to environments/software products in Python
• Able to showcase your ML work in small demos to validate feedback from our users (e.g. Streamlit, FastAPI, Jupyter notebook)
• Collaborate closely with MLOps to ensure scalable, production-ready ML solutions—go beyond prototypes and build robust, maintainable models
  
  

Tasty Bonus Skills

Have any sweet experience with one or some of the following areas? Then we sure like to hear about them!

End-to-end integration of ML in a Product

• Development in or exposure to environments/software products in Java
• Contributions to open source projects
• We know that you are into games on some level (casual, console, board-games, Uno etc.)
  
  

About King

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.