Applied Scientist , Amazon
Amazon · Palo Alto, CA · Applied Science
mid
machine learning
Applied Scientist
ic
3+ yrs Master's
· Posted Feb 17, 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 Palo Alto, CA. The posting calls out experience with Python, Java, LLMs, Reinforcement Learning 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
- Palo Alto, CA
- Experience
- 3+ years
- Education
- Master's degree
- Department
- Applied Science
- Posted
- Feb 17, 2026
AI Summary
Design and run large-scale LLM experiments focusing on post-training, instruction tuning, reward modeling, and reinforcement learning. Develop training recipes to improve reasoning and user experience. Requires 3+ years building models for business applications, PhD or Master's with 4+ years CS/ML experience, and published research in top-tier AI conferences.
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Job description
from Amazon careersWe’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You’ll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers.
We’re looking for scientists with deep LLM expertise to help us build the next generation of large language models. Our team focuses on post-training, including instruction tuning, reward modeling, and reinforcement learning. In this role, you will design and run large-scale experiments, analyze model behavior, and develop new training recipes that directly improve core capabilities like reasoning, user experience, and other frontier paradigms that redefine what LLMs can do.
If you’re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!
We’re looking for scientists with deep LLM expertise to help us build the next generation of large language models. Our team focuses on post-training, including instruction tuning, reward modeling, and reinforcement learning. In this role, you will design and run large-scale experiments, analyze model behavior, and develop new training recipes that directly improve core capabilities like reasoning, user experience, and other frontier paradigms that redefine what LLMs can do.
If you’re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!
Basic Qualifications
This is an excerpt. Read the full job description on Amazon careers →