Research Quality Assurance Engineer, DeepMind

Research Quality Assurance Engineer, DeepMind - Google Careers

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Research Quality Assurance Engineer, DeepMind

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corporate_fareDeepMindplaceMountain View, CA, USA

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Minimum qualifications:

• Bachelor's degree in Computer Science, Information Technology, or related technical field, or equivalent practical experience.
• 8 years of experience with one or more general purpose programming languages including but not limited to: Java, C/C++, Python, Objective C, JavaScript, or Go.
• Experience in Quality Assurance (QA), Quality Engineering (QE), DevOps, engineering productivity, continuous integration/continuous deployment (CI/CD), or product quality.
• Experience with test automation development.

Preferred qualifications:

• MBA or Master"s degree in engineering, computer science, or related technical field.

• 6 years of relevant work experience (e.g., statistician/computational biologist/bioinformatician/data scientist/product analyst), including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, causal inference, sampling methods. Analytical engagements outside class work at school can be included.

About the job

At Google DeepMind our mission is to build the world"s first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.

As a part of the GDM Research Quality Team, a multidisciplinary group supporting multiple units across DeepMind, you will focus on delivering excellence in quality across a wide range of projects, spanning software and infrastructure testing to data and rating quality efforts.Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve global issues and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Test and validate internal platforms, tools, and AI systems end-to-end, from data ingestion and processing pipelines to model evaluation and deployment.
• Lead production release testing processes, including co-ordinating with software teams to build test plans, create documentation, and execute manual and automated tests.
• Design, build, and scale automated testing frameworks, CI/CD integrations, and data validation pipelines to ensure the continuous delivery of high-quality research data.
• Act as a primary advocate for quality across the full-stack, applying software engineering best practices and data science techniques to identify, measure, and resolve complex defects.
• Work cross-functionally with software engineers, researchers, and data scientists to define quality requirements, build shared testing infrastructure, and validate research outputs.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate 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 also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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