Applied Science Manager, Artificial General Intelligence at Amazon SZ South 3 GmbH

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

286000.0

Posted On

15 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Deep Learning, Machine Learning, Computer Vision, Algorithms, Modeling Techniques, Java, C++, Python, PyTorch, TensorFlow, MxNet, Research Publications, Team Leadership, Mentoring, Generative AI, Multi-Modal Systems

Industry

Software Development

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 [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. 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 [https://www.aboutamazon.com/workplace/employee-benefits]. This position will remain posted until filled. Applicants should apply via our internal or external career site.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Lead the development of novel algorithms and modeling techniques for multimodal systems. Your work will impact customers through products and services utilizing vision and language technology.