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    Machine Learning Scientist, Code Generation - Berlin, Deutschland - Amazon Development Center Germany GmbH

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    Ganztags
    Beschreibung
    Utility Computing (UC)


    AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry.

    As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS.

    Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.


    We are looking for a Senior Applied Scientist who is passionate about building services and tools for developers that leverage artificial intelligence and machine learning.

    You will be part of a team building Large Language Model (LLM)-based services with the focus on enhancing the developer experience in the Cloud.

    The team works in close collaboration with other AWS services such as AWS Cloud9, the AWS IDE Toolkit and AWS Bedrock.

    If you are excited about working in cloud computing and building new AWS services, then we'd love to talk to you.

    Key job responsibilities

    • Understand the challenges that developers face when building software today, and develop generalizable solutions.
    • Identify pros and cons of different Generative AI techniques and decide if and how to employ them
    • Research and implement novel approaches leveraging Generative AI for creating text and code.
    • Collaborate with developers and pave the way towards bringing your solution into production systems. Lead cross team projects and ensure technical blockers are resolved.
    • Communicate and document your research via publishing papers in external scientific venues.
    About the team

    You will work on the Amazon Web Services (AWS) Next Gen Dev Experience (NGDE) team where we use generative AI and foundation models to reimagine the experience of builders on AWS.

    About AWS

    Diverse Experiences
    AWS values diverse experiences.

    Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply.

    If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

    Why AWS?
    Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform.

    We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

    Inclusive Team Culture
    Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

    Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

    Mentorship & Career Growth
    We're continuously raising our performance bar as we strive to become Earth's Best Employer.

    That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

    Work/Life Balance
    We value work-life harmony.

    Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture.

    When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

    We are open to hiring candidates to work out of one of the following locations:

    Berlin, BE, DEU

    BASIC QUALIFICATIONS

    • PhD, or a Master's degree and experience in CS, CE, ML or related field
    • Experience in patents or publications at toptier peerreviewed conferences or journals
    • Experience programming in Java, C++, Python or related language
    • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, highperformance computing
    PREFERRED QUALIFICATIONS

    • Experience using Unix/Linux
    • Experience in professional software development

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