Gameplay Engineer, Games, DeepMind
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What you'll do
- Design and rapidly implement the technical foundations for gameplay prototypes that utilize agentic workflows and generative models as core mechanics.
- Build internal tools, scaffolding, and workflows that empower designers and researchers to easily experiment with complex AI pipelines.
- Lead the integration of small- and large-scale streaming models into game environments, creatively hiding latency and consistency issues inherent to probabilistic models.
- Partner closely with designers and research scientists to solve "unsolvable" technical bottlenecks in early-stage, design-focused projects.
- Build compliant pipelines for data managing and model testing where stability matters, while maintaining the speed and flexibility required for rapid game prototyping.
What they're looking for
- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- 5 years of experience in one or more programming languages (e.g., C++, Python, or JavaScript).
- Experience working with cross-functional partners (game designers, artists, or producers) to scope and unblock features.
- Experience architecting core gameplay mechanics, custom tooling, or greenfield technical systems from scratch.
- Experience in commercially shipping or publicly releasing a game across its full lifecycle (prototype to release).
Nice to have
- Experience training ML models or integrating generative AI into consumer-facing products.
- Experience building high-performance web front-ends or interactive browser-based experiences.
- Practical knowledge of modern game engines like Unreal, Godot, Unity or proprietary internal frameworks.
- A track record of contributing to open-source projects or innovative technical experiments.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
You will be a key bridge between research and design, moving fast to stand up 0-to-1 prototypes, crafting expert pipelines when necessary, and finding novel technical solutions to creative problems. You will work in a cross-functional environment where every project involves significant experimentation, rapid iteration, and close collaboration.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
Responsibilities:
- Design and rapidly implement the technical foundations for gameplay prototypes that utilize agentic workflows and generative models as core mechanics.
- Build internal tools, scaffolding, and workflows that empower designers and researchers to easily experiment with complex AI pipelines.
- Lead the integration of small- and large-scale streaming models into game environments, creatively hiding latency and consistency issues inherent to probabilistic models.
- Partner closely with designers and research scientists to solve "unsolvable" technical bottlenecks in early-stage, design-focused projects.
- Build compliant pipelines for data managing and model testing where stability matters, while maintaining the speed and flexibility required for rapid game prototyping.
Minimum qualifications:
- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- 5 years of experience in one or more programming languages (e.g., C++, Python, or JavaScript).
- Experience working with cross-functional partners (game designers, artists, or producers) to scope and unblock features.
- Experience architecting core gameplay mechanics, custom tooling, or greenfield technical systems from scratch.
- Experience in commercially shipping or publicly releasing a game across its full lifecycle (prototype to release).
Preferred qualifications:
- Experience training ML models or integrating generative AI into consumer-facing products.
- Experience building high-performance web front-ends or interactive browser-based experiences.
- Practical knowledge of modern game engines like Unreal, Godot, Unity or proprietary internal frameworks.
- A track record of contributing to open-source projects or innovative technical experiments.
Company
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