mid machine learning Applied Scientist ic 10+ yrs Phd's · Posted Mar 17, 2026

About this role

Amazon is hiring a mid-level Applied Scientist in the machine learning function based in Bangalore, India. The posting calls out experience with LLMs, NLP, Deep Learning, Reinforcement Learning and roughly 10+ years of relevant work. Listed education preference: a Ph.D. or equivalent.

Role
Applied Scientist
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Bangalore, India
Experience
10+ years
Education
Ph.D. preferred
Department
Applied Science
Posted
Mar 17, 2026
AI Summary
Senior Applied Scientist developing large language models and multimodal systems for Alexa International. Responsibilities include building evaluation metrics, fine-tuning LLMs with advanced techniques, driving cross-team scientific strategy, and delivering production solutions. Requires PhD or Master's with 10+ years applied research experience and 5+ years building machine learning systems.

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Job description

from Amazon careers

Alexa International is looking for passionate, talented, and inventive Senior Applied Scientists to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative models knowledge. Senior applied scientists will drive cross-team scientific strategy, influence partner teams, and deliver solutions that have broad impact across Alexa's international products and services. Key job responsibilities As a Senior Applied Scientist with the Alexa International team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with LLMs, particularly delivering industry-leading scientific research and applied AI for multi-lingual applications — a challenging area for the industry globally. Your work will directly impact our global customers in the form of products and services that support Alexa+. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in text, speech, and vision domains. The ideal candidate possesses a solid understanding of machine learning, speech and/or natural language processing, modern LLM architectures, LLM evaluation tooling, and a passion for pushing boundaries in this vast and quickly evolving field. They thrive in fast-paced environment, like to tackle complex challenges, excel at swiftly delivering impactful solutions while…

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