Amazon
Member of Technical Staff - Reinforcement Learning (Infrastructure), AGI Autonom
Amazon, San Francisco, California, United States, 94199
Member of Technical Staff - Reinforcement Learning (Infrastructure), AGI Autonomy
Join to apply for the
Member of Technical Staff - Reinforcement Learning (Infrastructure), AGI Autonomy
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Amazon Member of Technical Staff - Reinforcement Learning (Infrastructure), AGI Autonomy
1 week ago Be among the first 25 applicants Join to apply for the
Member of Technical Staff - Reinforcement Learning (Infrastructure), AGI Autonomy
role at
Amazon Description
The Amazon AGI SF Lab is focused on developing new foundational capabilities for enabling useful AI agents that can take actions in the digital and physical worlds. We’re enabling practical AI that can actually do things for us and make our customers more productive, empowered, and fulfilled. Description
The Amazon AGI SF Lab is focused on developing new foundational capabilities for enabling useful AI agents that can take actions in the digital and physical worlds. We’re enabling practical AI that can actually do things for us and make our customers more productive, empowered, and fulfilled.
The lab is designed to empower AI researchers and engineers to make major breakthroughs with speed and focus toward this goal. Our philosophy combines the agility of a startup with the resources of Amazon. By keeping the team lean, we’re able to maximize the amount of compute per person. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research.
In this role, you will work closely with research teams to design, build, and maintain systems for training and evaluating state-of-the-art agent models.
Our team works inside the Amazon AGI SF Lab, an environment designed to empower AI researchers and engineers to work with speed and focus. Our philosophy combines the agility of a startup with the resources of Amazon.
Key job responsibilities
Develop cutting-edge training infrastructure to ensure large-scale reinforcement learning on LLMs runs highly efficient and robust. Work across the entire technology stack, including low level ML system, job orchestration and data management. Analyze, troubleshoot and profiling complex ML systems, identify and address performance bottlenecks. Work closely with researchers, conduct MLSys research to create new techniques, infrastructure, and tooling around emerging research capabilities.
Basic Qualifications
PhD, or Master's degree and 3+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience debugging ML systems
Preferred Qualifications
PhD in Computer Science, Machine Learning, or a related field, with a focus on ML System. Demonstrated experience in developing, implementing and debugging large scale ML systems. Experience with distributed system, Megatron, vLLM, Ray, and working with GPUs. Experience with 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.
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.
The base pay for this position ranges from $255,000/year in our lowest geographic market up to $345,000/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.
Company
- Amazon.com Services LLC
Job ID: A3063920 Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
Job function Research, Science, and Engineering Industries Software Development Referrals increase your chances of interviewing at Amazon by 2x Sign in to set job alerts for “Member of Technical Staff” roles.
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Join to apply for the
Member of Technical Staff - Reinforcement Learning (Infrastructure), AGI Autonomy
role at
Amazon Member of Technical Staff - Reinforcement Learning (Infrastructure), AGI Autonomy
1 week ago Be among the first 25 applicants Join to apply for the
Member of Technical Staff - Reinforcement Learning (Infrastructure), AGI Autonomy
role at
Amazon Description
The Amazon AGI SF Lab is focused on developing new foundational capabilities for enabling useful AI agents that can take actions in the digital and physical worlds. We’re enabling practical AI that can actually do things for us and make our customers more productive, empowered, and fulfilled. Description
The Amazon AGI SF Lab is focused on developing new foundational capabilities for enabling useful AI agents that can take actions in the digital and physical worlds. We’re enabling practical AI that can actually do things for us and make our customers more productive, empowered, and fulfilled.
The lab is designed to empower AI researchers and engineers to make major breakthroughs with speed and focus toward this goal. Our philosophy combines the agility of a startup with the resources of Amazon. By keeping the team lean, we’re able to maximize the amount of compute per person. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research.
In this role, you will work closely with research teams to design, build, and maintain systems for training and evaluating state-of-the-art agent models.
Our team works inside the Amazon AGI SF Lab, an environment designed to empower AI researchers and engineers to work with speed and focus. Our philosophy combines the agility of a startup with the resources of Amazon.
Key job responsibilities
Develop cutting-edge training infrastructure to ensure large-scale reinforcement learning on LLMs runs highly efficient and robust. Work across the entire technology stack, including low level ML system, job orchestration and data management. Analyze, troubleshoot and profiling complex ML systems, identify and address performance bottlenecks. Work closely with researchers, conduct MLSys research to create new techniques, infrastructure, and tooling around emerging research capabilities.
Basic Qualifications
PhD, or Master's degree and 3+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience debugging ML systems
Preferred Qualifications
PhD in Computer Science, Machine Learning, or a related field, with a focus on ML System. Demonstrated experience in developing, implementing and debugging large scale ML systems. Experience with distributed system, Megatron, vLLM, Ray, and working with GPUs. Experience with 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.
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.
The base pay for this position ranges from $255,000/year in our lowest geographic market up to $345,000/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.
Company
- Amazon.com Services LLC
Job ID: A3063920 Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
Job function Research, Science, and Engineering Industries Software Development Referrals increase your chances of interviewing at Amazon by 2x Sign in to set job alerts for “Member of Technical Staff” roles.
Berkeley, CA $60,000.00-$240,000.00 1 year ago Member of Technical Staff - Software Engineer
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San Francisco, CA $105,000.00-$230,000.00 6 hours ago Software Architect - Consulting Member of Technical Staff
Redwood City, CA $96,800.00-$251,600.00 1 week ago San Francisco, CA $58,800.00-$109,600.00 1 day ago San Francisco, CA $136,947.00-$239,699.00 7 months ago Engineering Manager, Internal Tools, AGI Autonomy
Associate Director of Counseling & Psychological Services - (Administrator II) - Counseling and Psychological Services
San Francisco, CA $10,000.00-$120,000.00 10 months ago San Francisco, CA $141,800.00-$221,600.00 2 weeks ago Project Archaeologist/ Cultural Resources Specialist
Oakland, CA $140,000.00-$220,000.00 2 months ago San Mateo, CA $141,800.00-$221,600.00 2 weeks ago SENIOR ENVIRONMENTAL SCIENTIST (SPECIALIST)
Alameda, CA $7,556.00-$10,221.00 3 weeks ago SENIOR ENVIRONMENTAL SCIENTIST (SPECIALIST)
Oakland, CA $7,556.00-$10,221.00 3 weeks ago San Mateo, CA $90,000.00-$140,000.00 2 weeks ago Chief Nursing Officer - San Mateo Medical Center
San Mateo County, CA $278,054.40-$347,547.20 2 weeks ago Division of Gastroenterology - Gastroenterologist
San Francisco, CA $110,500.00-$164,700.00 2 weeks ago Member of Technical Staff (Student Internship)
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San Francisco, CA $130,000.00-$200,000.00 8 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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