ML Research Engineer - Narrative & AI Systems

As a ML Research Engineer on Embark's Machine Learning team, you will help shape the future of storytelling tools and systems for video games. We believe modern AI can unlock entirely new creative workflows for narrative design, quest building, lore creation, and player-facing reactivity. Our goal is to investigate how we can design new tools and systems that enable creators to be more ambitious, collaborate more effectively, and explore ideas with less friction rather than simply automating existing workflows.

In this role, you will research, prototype, and build AI-driven narrative systems - exploring what's possible before optimizing for production. You'll work closely with writers, and designers to explore different levels of AI agency to intentionally design where AI agency makes sense and where it doesn't.

This is a role for someone who is genuinely passionate about narrative and storytelling, has a research mindset, and is curious about what new AI techniques can enable in games.

Example of responsibilities

Build gameplay systems and tools that enable new narrative workflows and faster iteration for creators

Collaborate with designers and narrative teams to understand creative needs and turn them into intuitive tooling

Research and prototype AI-driven narrative systems - quest generation, reactive dialogue, authoring tools, and beyond

Design and run lightweight experiments to evaluate creative AI applications

Work with writers and designers to explore and prototype AI-native gameplay mechanics that preserve authorial intent while enabling emergence and reactivity

Prototype experimental features quickly, then help mature the best ideas into robust solutions

Help design and evaluate different degrees of AI autonomy, balancing creative ambition, reliability, and control

Help define what 'good' looks like when AI is involved in storytelling

We would love if you have

A research or engineering background with hands-on experience in ML or LLM ap