Senior Applied Scientist, Artificial General Intelligence

Amazon; Seattle (WA); On-site; USD 150,000 - 260,000; Full time

Job summary

Amazon is seeking a passionate Applied Scientist for their AGI team to innovate in the domain of Large Language Models and multi-modal systems. Responsibilities include developing novel algorithms, utilizing extensive data sources for advances in generative AI, and publishing in prestigious conferences. The ideal candidate will have substantial experience in machine learning, strong programming skills, and the capacity to impact customer-facing technologies.

Qualifications

• PhD or Master's degree and 5+ years of applied research experience.
• Experience in building machine learning models for business applications.
• Experience with neural deep learning methods.

Responsibilities

• Support the development of novel algorithms and modeling techniques for LLMs.
• Advance the state of the art in generative artificial intelligence.
• Publish findings in top-tier conferences.

Skills

Machine Learning

Deep Learning

Programming in Java

Programming in C++

Programming in Python

Education

PhD or Master's degree

Tools

PyTorch

Job description

Job ID: 2982472 | Amazon.com Services LLC

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading technology with Large Language Models (LLMs) and multi-modal systems. You will support projects that work on technologies including multi-modal model alignment, moderation systems and evaluation.

Key job responsibilities
As an Applied Scientist with the AGI team, you will support the development of novel algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI). You are also expected to publish in top tier conferences.

A day in the life
The AGI team has a mission to push the envelope in LLMs and multimodal systems. Specifically, we focus on model alignment with an aim to maintain safety while not denting utility, in order to provide the best-possible experience for our customers.

BASIC QUALIFICATIONS

- PhD, or Master's degree and 5+ years of applied research experience
- 5+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

- PhD in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field
- Experience with popular deep learning frameworks, including PyTorch
- Experience with learning multimodal LLMs and GenAI in Computer Vision, both in the image and video domains
- Experience in patents or publications at top-tier peer-reviewed conferences or journals

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.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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.

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