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A leading company in artificial intelligence is seeking a Research Engineer to design and execute evaluations for AI systems. The role involves developing infrastructure for evaluations, collaborating with experts in AI ethics, and ensuring the safety of AI models. Candidates should have a technical degree and strong Python skills, with a keen interest in AI policy and ethics.
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
We’re looking for engineers who are interested in creating and executing the evaluations that we use to make release decisions for our cutting-edge AI systems.
You will apply your engineering skills to develop and maintain infrastructure and methods for reliable, repeatable evaluations, including datasets, systems to run automated and human evaluations, and analysis tools.
You will develop and maintain an understanding of the trends in AI development, governance, and sociotechnical research. Using this understanding, you will help design new evaluations, and communicate the results clearly to advise and inform decision-makers on the safety of our AI systems.
In all this work, you will work closely with other engineers and research scientists, both with researchers focused on developing AI systems and with experts in AI ethics and policy.
In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:
In addition, the following would be an advantage:
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
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Google DeepMind is committed to equal opportunity employment regardless of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital status, domestic or civil partnership status, sexual orientation, gender identity or any other basis as protected by applicable law. A voluntary self-identification question enables us to monitor and evaluate the effectiveness of our equal opportunities policy within our recruitment process. Your information is used in an aggregated form for these limited purposes and will not form part of your application.
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