Machine Learning Engineering (New Graduate), AGI Autonomy

Machine Learning Engineering (New Graduate), AGI Autonomy Join to apply for the Machine Learning Engineering (New Graduate), AGI Autonomy role at Amazon Machine Learning Engineering (New Graduate), AGI Autonomy Join to apply for the Machine Learning Engineering (New Graduate), AGI Autonomy role at Amazon Get AI-powered advice on this job and more exclusive features. 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 a research engineering role: running experiments, building tools to accelerate scientific workflows, and scaling up AI systems. You will be hired as a Member of Technical Staff. Basic Qualifications Bachelor’s degree in Computer Science or related technical field Strong proficiency in Python Experience with deep learning methods and tools, e.g., PyTorch Preferred Qualifications Hands-on experience in academic labs, industry internships, and/or open source development Demonstrated ability to own an ambiguous project end-to-end, i.e., writing code, designing experiments, and interpreting results Capacity to work autonomously and with a small team to drive research progress 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 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 $120,000/year in our lowest geographic market up to $230,000/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 Applicants should apply via our internal or external career site. Company - Amazon.com Services LLC Job ID: A2962344 Seniority level Seniority level Entry level 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 “Machine Learning Specialist” roles. 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