Amazon.com Services LLC
Technology
Sr.AppliedScienceManager
Neural analysis suggests this role is
optimal for Manager candidates.
“Sr. Applied Science Manager at Amazon.com Services LLC. Skills: Artificial intelligence, Machine learning, Natural language processing. Lead and manage teams. Provide mentorship”
What You'll Achieve.
Improve information-driven experience
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
10+ years building ML/AI solutions, Master's degree in Computer Science, Experience distilling informal customer requirements, Experience hiring and leading scientists
Nice to Have
PhD in Computer Science, Experience with machine learning technologies, Experience with Reinforcement Learning, Experience with Deep Learning, Experience with Computer Vision, Experience with Natural Language Processing, 10+ years applying ML to complex problems, 5+ years people management experience, Experience leading teams of five or more scientists
What You'll Do.
Lead and manage teams
Provide career development
Provide performance management
Define technical roadmap
Execute technical roadmap
Work with new technologies
Work with new methodologies
Translate business requirements
Deliver stable solutions
Participate in development cycle
Evaluate ML frameworks
Make strategic decisions
Collaborate with engineers
Collaborate with scientists
Define research plans
Drive scientific rigor
Partner with cross-functional teams
Align science initiatives
Publish research findings
Represent Amazon at conferences
Establish best practices
Improve model evaluation
Improve model monitoring
Improve continuous improvement
How You'll Work.
Team & Collaboration
Cross-functional teams; Science and engineering teams; Business stakeholders
Communication Scope
Publish research findings; Represent Amazon
Full Job Description
The AGI Information organization is at the forefront of artificial intelligence and machine learning innovation, developing AI systems used across AWS, Alexa, and other Amazon businesses that transform how customers interact with information, in particular integrating a broad range of structured and unstructured information into AI systems (e.g. with RAG techniques). Our team combines world-class research with production-scale engineering to deliver impactful AI-driven products and services. We're looking for an experienced leader who can drive scientific excellence while building and mentoring high-performing teams of applied scientists and machine learning engineers. If you are deeply familiar with LLMs, natural language processing, and machine learning and have experience managing high-performing research teams, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all the way to production. You will work with other science and engineering teams as well as business stakeholders to maximize velocity and impact of your team's contributions. It's an exciting time to be a leader in AI research. In Amazon's AGI Information team, you can make your mark by improving information-driven experience of Amazon customers worldwide! Key job responsibilities * Lead and manage teams of applied scientists and machine learning engineers, providing mentorship, career development, and performance management * Define and execute the technical roadmap for applied science initiatives, balancing innovation with business impact * Work with new technologies and methodologies that improve model performance, usability, and scalability of ML systems * Translate complex business requirements into technical deliverables and deliver operationally stable solutions that provide exceptional customer experiences * Participate in the full development cycle, end-to-end, from research and
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