Member of Technical Staff - Applied Science (New PhD), AGI Autonomy

Amazon; San Francisco (CA); On-site; USD 120,000 - 350,000; Full time

Job summary

A leading company is seeking a Member of Technical Staff specializing in Applied Science to join their new research lab in San Francisco. The role focuses on innovating in AI to enhance productivity and empowerment through advanced agent capabilities. Ideal candidates should hold a PhD in Computer Science and possess programming proficiency and deep learning experience.

Qualifications

• PhD in a relevant field is necessary.
• Expertise in Python, Java, or C++ is a must.
• Experience with deep learning and AI is preferred.

Responsibilities

• Engage in AI agent development through model training and dataset design.
• Optimize pre- and post-training processes.
• Communicate insights clearly to diverse audiences.

Skills

Proficiency in Python

Proficiency in Java

Proficiency in C++

Experience with deep learning methods

Education

PhD degree in Computer Science or related field

Tools

PyTorch

JAX

Job description

Member of Technical Staff - Applied Science (New PhD), AGI Autonomy

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Member of Technical Staff - Applied Science (New PhD), AGI Autonomy

Join to apply for the Member of Technical Staff - Applied Science (New PhD), AGI Autonomy role at Amazon

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Description

Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We’re enabling practical AI to make our customers more productive, empowered, and fulfilled. In particular, our work combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling in both virtual and physical environments. Our research builds on that of Amazon’s broader AGI organization, which recently introduced Amazon Nova, a new generation of state-of-the-art foundation models (FMs).

Description

Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We’re enabling practical AI to make our customers more productive, empowered, and fulfilled. In particular, our work combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling in both virtual and physical environments. Our research builds on that of Amazon’s broader AGI organization, which recently introduced Amazon Nova, a new generation of state-of-the-art foundation models (FMs).

Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We’re entering an exciting new era where agents can redefine what AI makes possible. We’d love for you to join our lab and build it from the ground up!

Key job responsibilities

You will contribute directly to AI agent development in an applied research role, including model training, dataset design, and pre- and post-training optimization. You will be hired as a Member of Technical Staff.

Basic Qualifications

• PhD degree in Computer Science or a related field
• Proficiency in Python, Java, C++, or related language
• Experience with deep learning methods and tools, e.g., PyTorch, JAX
  
  

Preferred Qualifications

• Strong background in scientific research with a proven ability to generate and implement new ideas in machine learning
• Willingness to step outside typical role boundaries to get things done — every member of technical staff is expected to write code, design experiments, and interpret results
• Ability to communicate results and insights to both technical and non-technical audiences, including through presentations and written reports
• Capacity to work autonomously and with a small team to set and achieve a research agenda
  
  

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.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $120,000/year in our lowest geographic market up to $350,000/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. Applicants should apply via our internal or external career site.


Company - Amazon.com Services LLC

Job ID: A2912776

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Science, and Engineering

• Industries

  Software Development

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