Senior Applied Scientist, Alexa Smart Home

Amazon

Bengaluru

On-site

INR 4,000,000 - 7,000,000

Full time

14 days+
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Job summary

Amazon in Bengaluru seeks a Senior Applied Scientist to design and build the next generation of Smart Home experiences using LLMs and vision-language models. You will collaborate with scientists and software developers to advance Alexa Smart Home control and automation, delivering user-centric features daily.

The role emphasizes research excellence, scalable ML solutions, and mentoring junior team members in a fast-paced environment.

Qualifications

  • PhD or Master’s with 6+ years of applied research experience.
  • 4+ years of building ML models for business applications.

Responsibilities

  • Develop inference and training techniques to improve LLM performance for Smart Home control.
  • Solve problems in computer vision, video summarization, and video search.
  • Develop robust synthetic data generation techniques for training large models.
  • Mentor junior scientists to improve skills and delivery.

Skills

Java
C++
Python
Neural networks

Education

PhD
Master’s degree + 6+ years applied research

Tools

TensorFlow
scikit-learn
Spark MLlib
MxNet

Job description

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.

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