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Applied Science Manager, Artificial General Intelligence
Applied Science Manager, Artificial General IntelligenceAmazon • San Francisco, CA, United States
Applied Science Manager, Artificial General Intelligence

Applied Science Manager, Artificial General Intelligence

Amazon • San Francisco, CA, United States
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  • [job_card.full_time]
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Description

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Science Manager with a strong deep learning background, to lead the development of industry-leading technology with generative AI (GenAI) and multi-modal systems.

Key job responsibilities

As an Applied Science Manager with the AGI team, you will lead the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and GenAI in Computer Vision.

About the team

The AGI team has a mission to push the envelope with multimodal LLMs and GenAI in Computer Vision, in order to provide the best-possible experience for our customers.

Basic Qualifications

5+ years of scientists or machine learning engineers management experience

Experience building machine learning models or developing algorithms for business application

Experience programming in Java, C++, Python or related language

Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals

PhD, or Master's degree and 5+ years of applied research experience

Preferred Qualifications

PhD in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field

Experience leading, mentoring and growing teams of scientists (teams of five or more scientists)

Experience in patents or publications at top-tier peer-reviewed conferences or journals

Experience with popular deep learning frameworks, including PyTorch

Experience with learning multi-modal LLMs and GenAI in Computer Vision, both in the image and video domains

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants : Job duties for this position include : work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https : / / amazon.jobs / content / en / how-we-hire / accommodations for more information. If the country / region you're applying in isn't listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https : / / amazon.jobs / en / benefits .

USA, CA, San Francisco - 211,400.00 - 286,000.00 USD annually

USA, CA, Sunnyvale - 211,400.00 - 286,000.00 USD annually

USA, WA, Bellevue - 183,800.00 - 248,700.00 USD annually

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