Applied Scientist, Special Projects
Amazon · Seattle, WA · Applied Science
mid
machine learning
Applied Scientist
ic
Phd's
· Posted Mar 2, 2026
$142,800 – $193,200
USD per year
About this role
Amazon is hiring a mid-level Applied Scientist in the machine learning function based in Seattle, WA. The posting calls out experience with Python, Java, Deep Learning, Machine Learning. Listed education preference: a Ph.D. or equivalent. Compensation is listed at $142,800–$193,200 per year.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Seattle, WA
- Education
- Ph.D. preferred
- Department
- Applied Science
- Posted
- Mar 2, 2026
AI Summary
Build and evaluate machine learning models for life sciences and protein biology applications. Collaborate with cross-functional teams of scientists, engineers, and product managers. Requires PhD in computer science, machine learning, or related field with expert knowledge of ML/deep learning and Python, Java, or C++ programming.
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Job description
from Amazon careersInnovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the limits. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you.
As an Applied Scientist on our team, you will focus on building state-of-the-art ML models for biology. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the forefront of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with other teams.
Key job responsibilities
- Build, adapt and evaluate ML models for life sciences applications
- Collaborate with a cross-functional team of ML scientists, biologists, software engineers and product managers
- Experience with programming languages such as Python, Java, C++
- Expert knowledge of machine learning and deep learning; experience in applying ML to protein biology.
As an Applied Scientist on our team, you will focus on building state-of-the-art ML models for biology. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the forefront of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with other teams.
Key job responsibilities
- Build, adapt and evaluate ML models for life sciences applications
- Collaborate with a cross-functional team of ML scientists, biologists, software engineers and product managers
Basic Qualifications
- PhD in computer science, machine learning, engineering, or related fields- Experience with programming languages such as Python, Java, C++
- Expert knowledge of machine learning and deep learning; experience in applying ML to protein biology.
Preferred Qualifications
This is an excerpt. Read the full job description on Amazon careers →