Research Engineer, Quantum Computing, DeepMind
Core
Bridge research and implementation by linking quantum computing research with machine learning to solve complex global challenges.
Role type
Research Engineer (Quantum Computing & ML)
Builds
ML solutions at the intersection of quantum computing and machine learning
Domain
Quantum Computing, Machine Learning, AI for Science
Deliverable
production ML models
Required skills
Python, data structures, algorithms, software development, classical algorithms, quantum algorithms
Preferred skills
PhD in scientific/computational field, agentic AI, modern ML paradigms (diffusion, transformers, LLMs), quantum computing concepts
Technologies
Python, transformers, LLMs, diffusion models
Responsibilities
Implement and scale ML solutions at the intersection of quantum computing and machine learning; translate classical and quantum algorithms into robust code; facilitate communication between research and engineering by advocating code readability and writing design documents
Seniority
Mid-Senior, hands-on IC
