Applied Scientist, Console Science
Amazon · Santa Clara, CA · Software Development
mid
machine learning
Applied Scientist
ic
3+ yrs Master's
· Posted Feb 12, 2026
$171,600 – $222,200
USD per year
About this role
Amazon is hiring a mid-level Applied Scientist in the machine learning function based in Santa Clara, CA. The posting calls out experience with Python, Java, AWS, LLMs and roughly 3+ years of relevant work. Listed education preference: a master's degree or equivalent. Compensation is listed at $171,600–$222,200 per year.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Santa Clara, CA
- Experience
- 3+ years
- Education
- Master's degree
- Department
- Software Development
- Posted
- Feb 12, 2026
AI Summary
Build conversational AI systems and large language models at Amazon. Develop novel algorithms for natural language understanding and dialog management. Requires 3+ years building ML models for business applications, PhD or Master's degree with 4+ years CS/ML experience, and publications or patents at top-tier venues.
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Job description
from Amazon careersWe are looking for passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including Generative AI with Large Language Models (LLMs) and Applied Machine Learning (ML).
As part of our Science team in AWS Console, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use language technology. You will gain hands on experience with Amazon’s heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding.
We are hiring in all areas of human language technology: NLU, Dialog Management, Conversational AI, LLMs and Generative AI.
- 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
As part of our Science team in AWS Console, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use language technology. You will gain hands on experience with Amazon’s heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding.
We are hiring in all areas of human language technology: NLU, Dialog Management, Conversational AI, LLMs and Generative AI.
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
This is an excerpt. Read the full job description on Amazon careers →