Personalization and Privacy AI Expert
3 weeks ago
About the Role
">As a Senior Scientist at AWS, you will lead the Personalization and Privacy AI teams, driving deep subject matter expertise in recommender systems, personalization, generative AI, and privacy. You will provide thought leadership on strategic efforts in personalizing models for customer applications across various use cases.
">Your Responsibilities
">- You will be a hands-on contributor to science at Amazon, helping raise the scientific bar by mentoring, educating, and publishing in your field.
- You will help build the scientific roadmap for personalization, privacy, and customization for generative AI.
- You will work with product, science, and engineering teams to deliver short- and long-term personalization solutions that scale to large numbers of builders developing Generative AI applications on AWS.
About the Team
">The DS3 org encompasses scientists working closely with different AWS AI/ML product services, innovating on behalf of customers.
">About AWS
">AWS is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, empowering customers from successful startups to Global 500 companies with our robust suite of products and services.
">Diversity and Inclusion
">AWS values diverse experiences and welcomes candidates from all backgrounds. Even if you don't meet all qualifications, we encourage you to apply. If your career hasn't followed a traditional path or includes alternative experiences, we invite you to share your story.
">Mentorship and Career Growth
">We strive to become Earth's Best Employer by fostering endless knowledge-sharing, mentorship, and career-advancing resources to help you develop into a better-rounded professional.
">Work-Life Balance
">We value work-life harmony, recognizing that success should never come at the expense of sacrifices at home. We aim to provide flexibility as part of our working culture, supporting employees in achieving balance and well-being.
">Basic Qualifications
">- 3+ years of building machine learning models for business applications.
- PhD, or Master's degree with 6+ years of applied research experience.
- Experience programming in Java, C++, Python, or related languages.
- Experience with neural deep learning methods and machine learning.
Salary Range
">$150,400 - $260,000 per year, depending on location and experience.
">Benefits
">AWS offers a range of benefits, including medical, financial, and other perks, designed to support your well-being and career growth.
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