Sr. Applied Scientist, Special Projects
Amazon · Seattle, WA · Applied Science
senior
machine learning
Applied Scientist
ic
· Posted May 8, 2026
$167,100 – $226,100
USD per year
Skills
About this role
Amazon is hiring a senior-level Applied Scientist in the machine learning function based in Seattle, WA. The posting calls out experience with Python, Java, R, Spark. Compensation is listed at $167,100–$226,100 per year.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Seattle, WA
- Department
- Applied Science
- Posted
- May 8, 2026
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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
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
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
- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
Preferred Qualifications
This is an excerpt. Read the full job description on Amazon careers →