Research Engineer, Quantum Computing, DeepMind

Research Engineer, Quantum Computing, DeepMind Overview

As a Research Engineer in Quantum Computing at Google DeepMind, you will play a pivotal role in bridging the gap between research and practical implementation. This position is ideal for an innovative engineer passionate about the transformative potential of AI in scientific endeavors.

Responsibilities

• Take ownership of complex research and engineering projects, implementing and scaling machine learning solutions that intersect with quantum computing.
• Translate both classical and quantum algorithms into efficient and maintainable code, ensuring a balance between implementation speed and design simplicity.
• Enhance communication between research and engineering teams by promoting best coding practices, advocating for code readability, and drafting effective design documentation.

Requirements

• A Bachelor’s degree in Computer Science, Physics, Mathematics, Chemistry, Engineering, or a related field, or equivalent practical experience.
• At least 5 years of experience in machine learning, engineering, and software development, particularly using Python.
• Familiarity with data structures and algorithms in either academic or professional environments.
• A PhD in a relevant scientific or computational discipline is preferred.
• Experience with agentic AI and modern machine learning techniques such as diffusion models, transformers, and large language models.
• Understanding of quantum computing principles.

Benefits

• Opportunity to work on groundbreaking AI technologies and contribute to significant scientific discoveries.
• Collaborative work environment with interdisciplinary teams focused on solving complex global challenges.
• Access to diverse learning opportunities and various career pathways.

Degree Requirement: Bachelor’s

Visa Sponsorship May be