Productivity AutomationInternal OnlyVerified

Reviewed and published by trentmaziarz, March 20, 2026. Discovered and drafted by our automated research pipeline.

Embark Studios announced plans to build LLM-based tools for narrative design, quest building, lore creation, and player-facing story reactivity, with the work housed in its Machine Learning Research team in Stockholm. The studio's goal, stated in a job listing active as of early 2026, is to create new creative workflows for game writers and designers rather than automating existing ones. Research into language models for game characters was first described publicly by co-founder Magnus Nordin in March 2022.

Details

A job listing posted on the official Embark careers site for a Gameplay Engineer on the Machine Learning team describes the role as building gameplay-facing systems and tools that make LLMs useful in production environments, working with writers and designers to prototype AI-native mechanics. The listing states the goal is to design new tools that enable creators to be more ambitious and explore ideas with less friction, rather than simply automating existing workflows. A March 2022 post on the Embark Studios Medium channel by co-founder Magnus Nordin described early research into giving game characters agency and personality using natural language understanding, which the studio identified as a direction alongside reinforcement learning for animation.

Products affected

Future titles / internal R&D

Sources & Evidence

News Article

https://careers.embark-studios.com/jobs

News ArticleVerified

What research means at Embark Studios

Medium·Mar 2022

https://medium.com/embarkstudios/what-research-means-at-embark-studios-2494c5d25320

Company Disclosure

Company DisclosureVerified

Gameplay Engineer – LLMs, Creator Tools & Narrative Systems

Careers Embark Studios

https://careers.embark-studios.com/jobs/7125012-gameplay-engineer-llms-creator-tools-narrative-systems

Original link unavailable.

Cite this record

Trace Foundation. (2026). Embark Studios: Embark Studios announced plans to build LLM-based tools for narrative design, quest building, lore creation, and player-facing story reactivity, with the work housed in its Machine Learning Research team in Stockholm. The studio's goal, stated in a job listing active as of early 2026, is to create new creative workflows for game writers and designers rather than automating existing ones. Research into language models for game characters was first described publicly by co-founder Magnus Nordin in March 2022 (data as of 2026-06-06) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/cc18bd1e-e349-4ae3-9739-14dc9e0c4672. Accessed October 14, 2026.

Stable link: https://www.aitrace.org/r/practice/cc18bd1e-e349-4ae3-9739-14dc9e0c4672
Data as of: June 6, 2026
Last verified: March 24, 2026

How to cite AI Trace

Other practices by Embark Studios

Creative GenEmbark developed and open-sourced a texture synthesis tool in Rust that generates new textures from example images using a multiresolution stochastic algorithm, enabling artists to create variations from a single source texture.ModerationEmbark integrates with WebPurify, a third-party AI-powered content moderation service, for filtering user-generated text content in their games, as evidenced by their open-source API client library.OtherThe Finals integrates NVIDIA's DLSS (Deep Learning Super Sampling) technology, which uses AI neural networks to upscale lower-resolution frames in real-time, boosting performance by approximately 2x at 4K with ray tracing enabled.

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