Member of Technical Staff, AGI Autonomy
Job 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 responsibilitiesYou 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.
Locations
- United States, CA, San Francisco, San Francisco, CA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
220,000 - 450,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years' experience building machine learning modelsintermediate
- - Proficiency in Python, Java, C++, or related languageintermediate
- - Experience with deep learning methods and tools, e.g., PyTorch, JAXintermediate
Required Qualifications
- - 3+ years' experience building machine learning models (experience, 3 years)
- - Proficiency in Python, Java, C++, or related language (experience)
- - Experience with deep learning methods and tools, e.g., PyTorch, JAX (experience)
Preferred Qualifications
- - PhD or Master's degree in computer science or related field (degree in master)
- - Strong background in scientific research with a proven ability to generate and implement new ideas in machine learning (experience)
- - 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 (experience)
- - Ability to communicate results and insights to both technical and non-technical audiences, including through presentations and written reports (experience)
- - Ability to think big about the arc of development of AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems (experience)
- - Capacity to mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team (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 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. (experience)
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.
Documents
Tags & Categories
Member of Technical Staff, AGI Autonomy
Job 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 responsibilitiesYou 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.
Locations
- United States, CA, San Francisco, San Francisco, CA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
220,000 - 450,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years' experience building machine learning modelsintermediate
- - Proficiency in Python, Java, C++, or related languageintermediate
- - Experience with deep learning methods and tools, e.g., PyTorch, JAXintermediate
Required Qualifications
- - 3+ years' experience building machine learning models (experience, 3 years)
- - Proficiency in Python, Java, C++, or related language (experience)
- - Experience with deep learning methods and tools, e.g., PyTorch, JAX (experience)
Preferred Qualifications
- - PhD or Master's degree in computer science or related field (degree in master)
- - Strong background in scientific research with a proven ability to generate and implement new ideas in machine learning (experience)
- - 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 (experience)
- - Ability to communicate results and insights to both technical and non-technical audiences, including through presentations and written reports (experience)
- - Ability to think big about the arc of development of AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems (experience)
- - Capacity to mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team (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 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. (experience)
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.