Applied Science Manager, Artificial General Intelligence
Job 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 responsibilitiesAs 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 teamThe 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.
Locations
- United States, CA, Sunnyvale, Sunnyvale, CA, United States
- United States, WA, Bellevue, Bellevue, WA, United States
- United States, CA, San Francisco, San Francisco, CA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
250,000 - 400,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 5+ years of scientists or machine learning engineers management experienceintermediate
- - Experience building machine learning models or developing algorithms for business applicationintermediate
- - Experience programming in Java, C++, Python or related languageintermediate
- - 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 journalsintermediate
- - PhD, or Master's degree and 5+ years of applied research experienceintermediate
Required Qualifications
- - 5+ years of scientists or machine learning engineers management experience (experience, 5 years)
- - Experience building machine learning models or developing algorithms for business application (experience)
- - Experience programming in Java, C++, Python or related language (experience)
- - 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 (experience)
- - PhD, or Master's degree and 5+ years of applied research experience (experience, 5 years)
Preferred Qualifications
- - PhD in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field (degree in computer vision)
- - Experience leading, mentoring and growing teams of scientists (teams of five or more scientists) (experience)
- - Experience in patents or publications at top-tier peer-reviewed conferences or journals (experience)
- - Experience with popular deep learning frameworks, including PyTorch (experience)
- - Experience with learning multi-modal LLMs and GenAI in Computer Vision, both in the image and video domains (experience)
- 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. (experience)
- Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year in our lowest geographic market up to $286,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
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.
