Senior Applied Scientist, AWS AI Research Team
6 days ago
Company Overview
">A World of Innovation at Amazon
At Amazon, we're revolutionizing the way the world thinks about technology. As a Senior Applied Scientist on our AWS AI Foundational Research Team, you'll be at the forefront of this revolution, working with cutting-edge machine learning solutions to drive innovation across our services.
Salary Range
$150,400 - $260,000 per year (based on location)
We value hard work and dedication, which is why we offer competitive salaries that reflect the cost of labor in various US geographic markets.
Job Description
Making Machine Learning Magic Happen
You'll invent, implement, and deploy state-of-the-art machine learning algorithms and systems, pushing the boundaries of what's possible in the cloud. Your prototypes will explore conceptually large-scale ML solutions across different domains and computation platforms. You'll interact closely with customers and the academic community, shaping the future of machine learning at Amazon.
Required Skills and Qualifications
- PhD or Master's degree in a relevant field, plus 6+ years of applied research experience
- 3+ years of building machine learning models for business applications
- Experience programming in Java, C++, Python, or related languages
- Deep understanding of neural deep learning methods and machine learning principles
Benefits
Your Career Growth, Our Priority
We believe in fostering an inclusive team culture where everyone feels valued and supported. Enjoy ongoing events, mentorship, and career-advancing resources to help you develop into a better-rounded professional. With us, achieving success at work never comes at the expense of sacrifices at home. We strive for flexibility as part of our working culture.
Other Opportunities
Your Future Awaits
As a Senior Applied Scientist, you'll have the chance to collaborate with other acclaimed engineers and world-renowned scientists. You'll be part of a growing focus area for AWS, shaping the future of cloud computing and machine learning.
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