Innovative Deep Learning Expert

3 weeks ago


Bengaluru, Karnataka, India myGwork Full time
About the Role

We are seeking a highly skilled and experienced Senior Applied Scientist to join our Alexa International Tech team. As an integral part of our team, you will play a key role in advancing the state-of-the-art with Large Language Models (LLMs) and multimodal systems.

In this exciting position, you will work closely with talented peers to develop novel algorithms and modeling techniques that directly impact our international customers through products and services that utilize digital assistance technology.

A Day in the Life
  • Analyze customer behavior and experience based on large-scale data, focusing on solving international customer-centric challenges.
  • Build innovative online and offline evaluation metrics and methodologies for personal digital assistants and customer scenarios on multi-modal devices.
  • Deliver deep learning-based innovations across the lifecycle, including policy-based learning and international customer-specific model performance tuning.
  • Experiment with agile model and data analysis or A/B testing frameworks.
  • Contribute to industry-first research to drive innovation forward.
About You

We are looking for a candidate with 3+ years of experience building machine learning models for business applications, or a PhD/ Master's degree with 6+ years of applied research experience. Your background should include programming skills in Java, C++, Python, or related languages, as well as 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 large-scale distributed systems such as Hadoop, Spark etc.

Estimated Salary: $145,000 - $200,000 per year, depending on location and experience. 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.


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