Research Engineer, Quantum Computing, DeepMind

Requirements:

• Bachelor's degree in Computer Science, Physics, Mathematics, Chemistry, Engineering, a related field, or equivalent practical experience.
• 5 years of experience in machine learning, engineering, and software development using Python.
• Experience with data structures or algorithms in an academic or industry setting.

Nice to haves:

• PhD in a relevant scientific or computational field.
• Experience in agentic AI and modern machine learning paradigms (e.g., diffusion, transformers, agentic tools, LLMs).
• Knowledge of quantum computing concepts.

What you'll be doing:

• Deliver on complex research and engineering milestones, assuming end-to-end ownership of implementing and scaling ML solutions (traditional and agentic) at the intersection of quantum computing and machine learning.
• Complement the algorithms development pillar by translating classical and quantum algorithms into robust code, balancing implementation time with efficiency, design simplicity, and sustainability.
• Facilitate communication between research and engineering by advocating code readability, promoting engineering best practices, and writing effective design documents.

Perks and benefits:

This section is not available for this job description.