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    Job · 20656643

    BENGALURU · FULLTIME

    Senior Applied Scientist, Alexa Smart Home

    Amazon

    Amazon

    Bengaluru · onsite · Posted 12d ago

    Sourced fromFoundit
    Not disclosed4–6 yrsfulltimeBengaluru

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    Section · 01

    About this role

    Description

    Come work with other scientists and software developers in Alexa Smart Home to design and build the next generation of Smart Home experiences using the latest multimodal Large Language Models (LLM's) and Computer Vision.

    We are evolving Alexa into an intelligent, indispensable companion that automates daily routines, simplifies interaction with appliances, electronics, and cameras and alerts when something unusual is detected. We are focused on making Alexa the user interface for the home, from the simplest voice commands (turn on the lights, turn down the heat) to use cases spanning home security, home entertainment, and the home environment. You can be part of a team delivering features that are highly anticipated by media and well received by our customers. And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day.

    As a Senior Applied Scientist, you will work with other scientists and software developers to design and build the next generation of Smart Home control using the latest Large Language Models and Vision Language Models. And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day.

    Key job responsibilities

    • Develop new inference and training techniques to improve the performance of LLM's for Smart Home control and Automation
    • Solve hard problems in computer vision, video summarization, and video search
    • Develop robust techniques for synthetic data generation for training large models and maintaining model generalization
    • Mentoring junior scientists to improve their skills, knowledge, and their ability to get things done

    About The Team

    We are a team of Scientists, Machine Learning Engineers, and Software Developers that work together to make Alexa more insightful and proactive through ambient intelligence - with features like Alexa Hunches that automatically control Smart Home devices.

    We are interdisciplinary and we act like it -- we ask each other questions and value our different perspectives.

    Basic Qualifications

    • 4+ years of building machine learning models for business application experience
    • PhD, or Master's degree and 6+ years of applied research experience
    • Experience programming in Java, C++, Python or related language
    • Experience with neural deep learning methods and machine learning

    Preferred Qualifications

    • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
    • Experience with AI/ML technologies

    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: A10474742

    Sourced from foundit

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    Section · 02

    Skills

    Computer VisionScipyrLarge Language Models (LLMs)TensorflowScikit-LearnMXNetneural deep learning methodsSpark MLLibPythonNumpyJavaMachine 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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