Scientist, Applied ML, Quantum Error

Job Description

Job Title: Research Scientist, Applied ML, Quantum Error Correction. Location: Goleta, California, USA

Responsibilities:

• Develop automated pipelines using machine learning to discover new quantum error correction codes
• Design and optimize fault-tolerant quantum circuits for real hardware constraints
• Adapt error correction schemes to connectivity and performance limitations of quantum systems
• Simulate quantum codes under realistic noise models and evaluate their performance
• Improve encoding rate, distance, and hardware efficiency of quantum codes;
• Collaborate with internal teams and external research institutions
• Publish research findings and contribute to the global quantum research community

Qualifications:

• PhD in Quantum Computing, Physics, Computer Science, Math, Electrical Engineering, or related field
• Experience in quantum computing or machine learning research;
• At least one scientific publication in relevant fields

Preferred:

• Experience initiating and leading research agendas
• Background in quantum computing and error correction methods
• Experience applying ML to scientific or physics-based problems

Benefits And Compensation:

• Base salary range: $147,000 to $211,000 per year
• Additional compensation includes bonus, equity, and benefits
• Opportunity to work on cutting-edge quantum computing systems
• Access to world-class research infrastructure and collaborations

Other Information:

• Salary varies based on experience, skills, and location
• English proficiency required for global collaboration;
• Equal opportunity employer with inclusive hiring practices
• Applications subject to Google’s privacy and hiring policies