Staff Research Engineer, Games, Inception, DeepMind

Requirements

• Bachelor’s degree in computer science, electrical engineering, science, mathematics or equivalent practical experience.
• 8 years of experience working with generative models and fine tuning.
• Experience with machine learning frameworks (e.g., JAX, TensorFlow, NumPy) and prototyping with Agent frameworks and tools (e.g., Antigravity, Gemini CLI).
• Experience with machine learning, mathematics, and statistics to evaluate relevant research papers (e.g., linear algebra, calculus etc).
• Experience leading technical projects or acting as a technical lead for a team of software or research engineers.
• Experience delivering software systems in Research and Development (R&D), startup, or experimental game development environments.

Nice to Haves

• Experience with Data engineering and visualization.
• Experience in academic research in machine learning, publications, or related fields.
• Experience as a game developer/designer/artist using modern game engines and developer toolchains.
• Experience with C++ or broader programming.
• Experience with UX or game design.

What You'll Be Doing

• Work in a close-knit, cross-functional team. Conduct significant experimentation and collaboration with partner teams.
• Bridge the gap between AI technologies and user experience by designing, building, and sharing rapid prototypes.
• Understand partner's objectives, constraints, and systems. Gather and analyze data. Build, evaluate, and debug ML models and algorithms. Integrate pipelines and models into production serving systems.
• Solve key applied research issues, design and run experiments, share analyses, and propose next steps.
• Bring engineering expertise into early stage projects. Share skills and knowledge with other engineers and researchers. Conduct performance engineering, benchmarking, and optimization.

Perks and Benefits

• Inception runs like a startup, balancing high energy idea generation with pragmatic, clear and regularly refined operations.
• Collaborative, multidisciplinary group primarily situated in London and Mountain View with global collaborators.
• Opportunity to work on projects spanning machine learning and AI fields such as large language models, diffusion models, and reinforcement learning.