Senior Engine / Machine Learning Engineer Game Intelligence

Job Description

Massive Entertainment is a world-leading AAA studio located in Malmö, Sweden and part of the Ubisoft family. We're a multinational team of more than 750 passionate and highly skilled people from 50+ different countries. Our studio's goal has always been – and still is – to craft the finest gaming experiences for all players.

At Massive, you get to do what you love most while bringing your own experience to our ongoing projects, like Tom Clancy's The Division 2, Avatar: Frontiers of Pandora, and Star Wars Outlaws. We're also developing new tech here, such as our in-house engine Snowdrop, and Ubisoft Connect - Ubisoft's digital ecosystem and distribution platform.

Job Description

We're looking for a Senior Machine Learning Engineer to join our Applied AI team and to enable us exploring how modern AI solutions can contribute to unlock opportunities during the game development, as well as in our live games.

As a Senior Machine Learning Engineer, you'll be responsible for designing, implementing and maintaining advanced AI solutions, together with corresponding data pipelines, data quality and performance monitoring tooling, deploying them in a wide range of target environments. One of your main focus will be integration of AI solutions from and within a proprietary game engine Snowdrop. You'll collaborate with AI Scientists, Data Scientists, Data/MLOps Engineers, Game Analysts, User Researchers, Games Lab Moderators and Ubisoft tech providers to understand the needs and proposing robust AI solutions to business requirements in a complex technical environment.

Some of the areas you'll be focusing on are:
• Identifying and developing original AI-based solutions, to game production tooling needs, in a game engine.
• Developing AI components to personalize and improve the in-game players experience.
• Developing methods and tools for obtaining a better understanding of our in-game players behaviors.

We're offering a permanent position in Malmö, Sweden, with the flexibility to work partially from home (up to two days a week) under our Flexible Workplace Policy. Please apply using English, our company's primary language.

What You'll Do
• Designing, implementing, optimizing, deploying and maintaining end-to-end AI solutions and pipelines, integrated in target specific architectures (notably in a proprietary game engine), to enable their effective industrialization.
• Improving performance of pre-existing AI solutions and pipelines, managing their re-engineering and smooth transitioning, if necessary.
• Building prototypes in controlled environments and data to perform quick iterations with stakeholders to improve, aiming for their productization.
• Communicating with stakeholders to understand & refine the business needs. Derive data science goals, success metrics and tasks. Loop back learnings and feedback from stakeholders proactively to support the projects.
• Defining, implementing and maintaining ETLs, that assemble large & complex datasets from heterogeneous data sources.
• Contributing to defining and implementing best practices in terms of infrastructure, deployment pipelines, CI/CD tools, code quality, unit tests.
• Documenting processes, modeling steps, ETLs, reports, and tools, within the centralized dept documentation repository.

Qualifications

What You'll Bring

You're motivated by what modern AI can do to push the boundary in AAA game development, as well as smart & ethical use of player data to enrich their experience. You're interested in video games and are motivated by collaborating with a team for high-quality deliveries and support. You are curious by heart and thrive in finding new possible ways and solutions to enhance your work. You communicate efficiently and create trustful relations with your stakeholders, while focusing on production's needs.

Besides the above we're looking for someone aligned with our core values  and the following skills and experience:
• Proven work experience in AI engineering, with a wide range of technical environments and machine learning techniques (e.g. GenAI, Deep Learning, Reinforcement Learning, Recommender Systems);
• Proven work experience in game development using a game engine (e.g. Unreal/Unity)
• Proficient in Python, SQL and C++;
• Proficient with various cloud services and large-scale distributed architectures, examples of which are Hadoop, Spark, AWS, and Azure;
• A master's degree in Computer Science, Data Science / AI / Machine Learning Engineering, a similar field, or the equivalent work experience.

Jobcode: Reference SBJ-r0403j-3-128-79-4-42 in your application.