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    Research Engineers - London, United Kingdom - DeepMind

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    Description
    Research Engineer, Foundational Research

    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.

    We're looking for engineers to push forward fundamental research and technology in Artificial Intelligence, as part of our interdisciplinary and collaborative Research Engineering team.

    The Research Engineering team's home is in Foundational Research at Google DeepMind.

    We partner with scientists and engineers from all parts of the organisation, from experimental research, to tackling large scale engineering challenges, to translating research into applications and products.

    As a Research Engineer, you'll use your technical skills and machine learning knowledge in research projects, engineering initiatives, and applications of research.

    Working out how to make research methods run with large scale compute.
    Performance engineering, benchmarking, and optimisation.
    Solving key research challenges, via designing and running experiments, sharing analyses and proposing next steps.
    Bringing engineering expertise into research projects. Designing, building, and improving infrastructure for research.

    Our projects span the full range of state of the art machine learning and AI fields, including large language models, diffusion models, reinforcement learning, distributed machine learning techniques, and much more.

    We invest a lot of time in training and helping people to continually learn as part of their role.

    The core skills we look for in Research Engineers are:
    Degree in computer science, electrical engineering, science, mathematics or equivalent experience.
    Programming experience, particularly with Python-based scientific libraries such as JAX, PyTorch, TensorFlow, NumPy.
    Familiarity with machine learning, mathematics and statistics needed to follow relevant research papers (linear algebra, calculus, etc).
    C++ or broader programming experience.
    Data engineering and visualisation.
    Strong communication skills (via discussion, presentation, technical and research writing, whiteboarding).
    Academic research experience in machine learning, publications, or research experience in related fields.
    Phone

    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.

    Disclosure is voluntary and the information you provide will be kept confidential in compliance with our Applicant and Candidate Privacy Policy found at
    Please select Please tell us about a problem you've solved using machine learning, in a few sentences

    Which open problem would you most like to solve using machine learning?

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