Job Description
At Amazon, we believe that scientific innovation is essential to being the most customer-centric company in the world. Our scientists’ ability to impact at scale attracts top minds in machine learning, artificial intelligence, and related fields.
Research Areas
- Machine learning
- Operations
- Generative AI (GenAI)
- Robotics
- Quantum computing
- Computer vision
- Economics
- Search
- Sustainability
Learn more: Amazon Science
We are hiring across multiple businesses and many locations in the US. Apply to learn more about roles that fit your background.
Key Responsibilities
- Define research directions
- Invent and adopt new ML techniques
- Conduct experiments and publish results
- Translate research into practice
- Develop strategies and persuade teams
- Organizational planning, mentoring, and leadership
- Build scalable science and engineering solutions
- Serve as a scientific resource throughout the development cycle
Basic Qualifications
- PhD in Computer Science, Machine Learning, Statistics, Applied Math or related
- 8+ years of research experience post-PhD
- Publications in top-tier conferences/journals (Reinforcement Learning, Deep Learning, ML)
- Fluency in Python, SQL or similar scripting languages
- Strong algorithm development skills
- Broad and deep knowledge of state-of-the-art ML technologies
- Experience in mentorship/management of senior scientists and engineers
Preferred Qualifications
- Programming in Java, C++, or similar
- Experience building ML models for business applications
Additional Information
- Equal opportunity employer
- Compliance with local laws and regulations
- Salary range from $179,000 to $309,400 per year depending on location
- Total compensation may include equity, sign-on bonuses, and benefits
Contact and Application
- Visit Amazon Careers for accommodations during hiring
- Apply through Amazon’s career site
Job Details
- Company: Amazon.com Services LLC
- Job ID: A2821890
Job Highlights
-
Qualifications:
- PhD in relevant field
- 8+ years research experience
- Publications in top-tier venues
- Programming fluency (Python, SQL)
- Strong algorithm skills
- Expertise in ML technologies
- Leadership experience
-
Benefits:
- Salary from $179K to $309K
- Additional compensation (equity, sign-on bonuses)
- Comprehensive benefits
-
Responsibilities:
- Define research paths
- Translate research into practice
- Strategic planning and team leadership
- Develop scalable solutions