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    Job · 20524660

    BENGALURU · FULLTIME

    Applied Scientist II, Amazon Smart Vehicles

    Amazon

    Amazon

    Bengaluru · onsite · Posted 12d ago

    Sourced fromFoundit
    Not disclosed3–5 yrsfulltimeBengaluru

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    Section · 01

    About this role

    Description

    The Amazon Smart Vehicles (ASV) science team is seeking a passionate and skilled Applied Scientist with extensive expertise in advanced LLM technologies.

    This role involves innovating in rapidly evolving areas of AI research, focusing on creating personalized services to enhance drivers and passengers experiences. Your work will aim to simplify their lives, keep them informed, entertained, productive, and safe on the road, with direct application to prominent Amazon products.

    If you have extensive expertise in LLMs, natural language processing, and machine learning, along with experience in high-performing research teams, this could be the perfect opportunity for you. Our dynamic and fast-paced environment demands a high level of independence in decision-making and the ability to drive ambitious research initiatives through to production. You will collaborate closely with other science and engineering teams, as well as business stakeholders, to ensure your contributions are both impactful and delivered with maximum efficiency.

    Key job responsibilities

    • Leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI)
    • Work with talented peers to lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs
    • Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions

    About The Team

    This is an exciting moment to lead in AI research and application. As part of the Amazon Smart Vehicles science team, you have the opportunity to shape the future by enhancing information-driven experiences for Amazon customers around the globe. Your work will directly influence customers through innovative products and services powered by language and multimodal technology!

    Basic Qualifications

    • 3+ years of building models for business application experience
    • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
    • Experience in patents or publications at top-tier peer-reviewed 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, high-performance computing

    Preferred Qualifications

    • Experience applying theoretical models in an applied environment
    • Experience in professional software development

    Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

    Company - ADCI - Karnataka

    Job ID: A10562883

    Sourced from foundit

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    Section · 02

    Skills

    high performance computingdata miningNatural Language ProcessingparsingNumerical OptimizationLLM technologiesalgorithms and data structuresparallel and distributed computingPythonJavaMachine Learning

    Section · Company

    About Amazon

    Amazon

    Amazon

    Internet

    120k+

    employees

    1994

    32 years old

    Hyderabad / Secunderabad, Telangana

    India

    About

    Amazon is an American multinational technology company focusing on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

    Industries

    InternetRetailUrban TransportLogisticsEmerging TechnologiesIT Services & Consulting

    Employee ratings

    31,409 reviews

    3.9/ 5

    Culture

    4.0

    Career growth

    3.2

    Work-life

    3.8

    Employees rate it well for

    Work Culture3746Salary2936Work Life Balance2821Senior Management1830Career Growth1598

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