Sr. Applied Scientist, Amazon Bedrock
Amazon is seeking a passionate, talented, and inventive Senior Applied Scientist with a strong background in machine learning. Your mission will be to contribute to the development of industry-leading technology in generative AI and foundational models. As a member of our science team at Amazon AWS Bedrock, you will design and implement post-training algorithms and modeling techniques to advance the state-of-the-art. Your work will empower millions of customers to effortlessly build applications leveraging cutting-edge Multi-modal Models and LLMs. This role offers a unique opportunity to gain hands-on experience with large-scale computing resources, accelerating breakthroughs in machine learning and foundational models. Key job responsibilitiesAbout the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- PhD in CS, ML or related field, or Master with equivalent years of experience- 5+ years work experience in industry environments- Experience programming in Java, C++, Python or related language- Experience developing ML models and systems to deliver product capabilities, and demonstrated ability to own problems end-to-end (able to innovate to bridge gaps and willing to learn missing knowledge)- Patents or publications at top-tier peer-reviewed conferences or journals ...