Principal Applied Scientist, Neuro-Symbolic AI Labs
Amazon · Boston, MA · Applied Science
principal
machine learning
Applied Scientist
tech_leadership
· Posted Apr 27, 2026
$198,900 – $269,000
USD per year
Skills
About this role
Amazon is hiring a principal-level Applied Scientist in the machine learning function based in Boston, MA. The posting calls out experience with Python, Java, Data Structures, Agile. Compensation is listed at $198,900–$269,000 per year.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- principal
- Track
- Tech leadership
- Employment
- Full-time
- Location
- Boston, MA
- Department
- Applied Science
- Posted
- Apr 27, 2026
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Job description
from Amazon careersWe are looking for researchers who aim to build super-intelligent AI systems that leverage proof assistants to guide learning and reasoning. Our neuro-symbolic AI technology is applied across a wide range of science and engineering domains within Amazon, and you will join the team at the forefront of this research.
As a Principal Applied Scientist, you will play a pivotal role in shaping the definition, vision, and development of product features from beginning to end. You will:
- Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems.
- Work in an agile, startup-like development environment, where you are always working on the most important stuff.
- Deliver high-quality scientific artifacts.
About the team
We work closely with academia. Our team includes an Amazon Scholar in mathematics, and we maintain active research collaborations with faculty at leading CS departments (MIT, Berkeley, CMU).
- Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment
- PhD, or Master's degree and 8+ years of applied research experience
As a Principal Applied Scientist, you will play a pivotal role in shaping the definition, vision, and development of product features from beginning to end. You will:
- Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems.
- Work in an agile, startup-like development environment, where you are always working on the most important stuff.
- Deliver high-quality scientific artifacts.
About the team
We work closely with academia. Our team includes an Amazon Scholar in mathematics, and we maintain active research collaborations with faculty at leading CS departments (MIT, Berkeley, CMU).
Basic Qualifications
- Experience programming in Java, C++, Python or related language- Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment
- PhD, or Master's degree and 8+ years of applied research experience
Preferred Qualifications
This is an excerpt. Read the full job description on Amazon careers →