OneMain Financial Jobs

Research Scientist, Applied ML, Quantum Error Correction

corporatefare_ Google place Goleta, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:

• PhD degree in Quantum Computing, Math, Physics, Computer Science, Electrical Engineering, a related field, or equivalent practical experience.

• One or more scientific publication submissions for conferences, journals, or public repositories in the fields of machine learning or quantum computing.

Preferred qualifications:

• 1 year of experience owning and initiating research agendas.

• 1 year of experience in Quantum computing.

About the job

In this role, you will use machine learning to develop automated discovery pipelines for Quantum Error Correction (QEC). You will be responsible for using machine learning to uncover new and novel codes for fault-tolerant quantum computing, specifically tailoring these discoveries for superconducting qubits and high-connectivity platforms. You will develop large scale pipelines to programmatically discover and analyze QEC schemes. These pipelines will help to improve error correcting codes used for modular architectures addressing challenges such as entangling links between chips that are slower or more faulty than on-chip gates, improve fault tolerant gate implementations and close the gaps between theoretical code frameworks and practical hardware implementation considerations. In this capacity, you will operate at the intersection of machine learning and quantum physics to guarantee that the discovered codes are rigorously optimized for both current and next-generation quantum processors. Beyond the technical design, you will contribute to the wider research community by sharing and publishing your findings. These contributions will be inspired by internal projects as well as through active collaborations with research programs at partner universities and technical institutes globally.

The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.

The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .

Responsibilities

• Explore automated Quantum Error Correction discovery with machine learning to uncover new and novel quantum codes that achieve high encoding rate, high distance, or favorable layout in hardware.

• Apply Machine Learning algorithms to adapt error correction circuits to hardware constraints on connectivity, and analyze fault-tolerant circuits for syndrome measurement and logical operations.

• Analyze fault-tolerant circuits for syndrome measurement and logical operations.

• Simulate quantum codes under noise models and evaluate performance.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.