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Member of Technical Staff -PMT Research, AGI Autonomy

Amazon

San Francisco (CA)

On-site

USD 161,000 - 280,000

Full time

2 days ago
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Job summary

Amazon is seeking a Member of Technical Staff for its new research lab in San Francisco focused on creating foundational capabilities for AI agents. The role emphasizes pioneering research and development, combining cutting-edge technologies like large language models and reinforcement learning. This position offers the chance to shape innovative AI solutions and skills involving high-level technical expertise.

Qualifications

  • Deep technical expertise in neural networks and large language models.
  • Experience building products for highly technical users.
  • Ability to articulate product vision and requirements.

Responsibilities

  • Own the roadmap for the tools on the critical path of the lab's research.
  • Combine large language models with reinforcement learning for AI agents.

Skills

Neural networks
Large language models
Reinforcement learning
Model evaluation
Data annotation

Job description

Member of Technical Staff -PMT Research, AGI Autonomy

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Member of Technical Staff -PMT Research, AGI Autonomy

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Description

We’re a new research lab in San Francisco, currently focused on developing new foundational capabilities for enabling useful AI agents. We’re pursuing several key research bets that will enable AI agents to perform real-world actions, learn from human feedback, self-course-correct, and infer our goals. In particular, we are really excited about the work in combining large language models (LLMs) with reinforcement learning (RL) to solve reasoning and planning, learned world models, and generalizing agents to physical environments. Our work builds on that of Amazon’s broader AGI team, which recently introduced Amazon Nova, a new generation of state-of-the-art foundation models (FMs).

Description

We’re a new research lab in San Francisco, currently focused on developing new foundational capabilities for enabling useful AI agents. We’re pursuing several key research bets that will enable AI agents to perform real-world actions, learn from human feedback, self-course-correct, and infer our goals. In particular, we are really excited about the work in combining large language models (LLMs) with reinforcement learning (RL) to solve reasoning and planning, learned world models, and generalizing agents to physical environments. Our work builds on that of Amazon’s broader AGI team, which recently introduced Amazon Nova, a new generation of state-of-the-art foundation models (FMs).

We’re 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 AI agents are the next playing field; the right research bets can reinvent what’s possible with AI. We’d love for you to join our new lab and build it from the ground up!

Key job responsibilities

Given the pace of the agent space, research velocity is paramount — in this role, you’ll own the roadmap for the tools on the critical path of the Lab’s research.

Basic Qualifications

  • Deep technical expertise and detailed understanding of neural networks, large language models, reinforcement learning, model evaluation, data annotation
  • Experience building products for highly technical users
  • Love for ambiguity and creating something new from scratch
  • Outstanding ability to clearly articulate product vision and requirements in written documents

Preferred Qualifications

  • Interest in AI agents - bonus if you’ve worked in the space (either formally or through side projects)

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 US geographic markets. The base pay for this position ranges from $161,900/year in our lowest geographic market up to $279,900/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.


Company - Amazon.com Services LLC

Job ID: A2999767

Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Project Management, Information Technology, and Product Management
  • Industries
    Software Development

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