{"schemaVersion":"jobsearcher.job.v1","id":"67ca3a2ff0016e42a105cbb2","url":"https://jobsearcher.com/jobs/67ca3a2ff0016e42a105cbb2","canonicalUrl":"https://jobsearcher.com/jobs/67ca3a2ff0016e42a105cbb2","title":"Applied Scientist, AGI Customization Services","description":"Applied Scientist, AGI Customization Services\nThe Artificial General Intelligence (AGI) Customization Team is seeking a highly skilled and experienced Applied Scientist to support adoption and enable customization of Amazon Nova. The role focuses on developing state‑of‑the‑art services and tools for model customization, including supervised fine‑tuning, reinforcement learning, and knowledge distillation across large language models.\n\nKey Responsibilities\n\nDevelop novel customization techniques such as extended post‑training, continued pre‑training, and advanced knowledge distillation.\n\nCollaborate with cross‑functional teams to design and implement enterprise‑ready tooling for various training techniques on Amazon SageMaker.\n\nDesign and execute experiments to optimize model accuracy, latency, and cost across different customization approaches (SFT, DPO, PPO).\n\nDevelop and enhance preference learning algorithms and training curricula for customer‑specific applications.\n\nCreate robust evaluation frameworks for assessing model performance across different domains and use cases.\n\nContribute to the development of the Responsible AI toolkit, including creating training and evaluation datasets for model alignment.\n\nDesign and implement secure access mechanisms for early model checkpoints and weights.\n\nCommunicate technical insights and results to both technical and non‑technical stakeholders through presentations and documentation.\n\nBasic Qualifications\n\n3+ years of building models for business applications.\n\nPhD or Master’s degree with 4+ years of CS/CE/ML or related experience.\n\nExperience in patents or publications at top‑tier peer‑reviewed conferences or journals.\n\nProficiency in Java, C++, Python, or related languages.\n\nBackground in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high‑performance computing.\n\n1+ year of building machine learning models for business applications.\n\n2+ years of applied research experience.\n\nExperience with state‑of‑the‑art deep learning model architecture design and training, optimization, and model pruning.\n\nPreferred Qualifications\n\nExperience using Unix/Linux.\n\nProfessional software development experience.\n\nPhD or Master’s degree in computer science, machine learning, engineering, or related fields.\n\nExperience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe, and PyTorch.\n\nStrong analytical skills, attention to detail, and effective communication abilities.\n\nExperience collaborating with cross‑functional teams.\n\nExperience in developing and implementing algorithms and models for supervised fine‑tuning and reinforcement learning.\n\nExperience with patents or publications at top‑tier peer‑reviewed conferences or journals.\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\n#J-18808-Ljbffr","company":"Amazon","rawCompany":"amazon","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-06-20T04:55:38.148Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Applied Scientist, AGI Customization Services","description":"Applied Scientist, AGI Customization Services\nThe Artificial General Intelligence (AGI) Customization Team is seeking a highly skilled and experienced Applied Scientist to support adoption and enable customization of Amazon Nova. The role focuses on developing state‑of‑the‑art services and tools for model customization, including supervised fine‑tuning, reinforcement learning, and knowledge distillation across large language models.\n\nKey Responsibilities\n\nDevelop novel customization techniques such as extended post‑training, continued pre‑training, and advanced knowledge distillation.\n\nCollaborate with cross‑functional teams to design and implement enterprise‑ready tooling for various training techniques on Amazon SageMaker.\n\nDesign and execute experiments to optimize model accuracy, latency, and cost across different customization approaches (SFT, DPO, PPO).\n\nDevelop and enhance preference learning algorithms and training curricula for customer‑specific applications.\n\nCreate robust evaluation frameworks for assessing model performance across different domains and use cases.\n\nContribute to the development of the Responsible AI toolkit, including creating training and evaluation datasets for model alignment.\n\nDesign and implement secure access mechanisms for early model checkpoints and weights.\n\nCommunicate technical insights and results to both technical and non‑technical stakeholders through presentations and documentation.\n\nBasic Qualifications\n\n3+ years of building models for business applications.\n\nPhD or Master’s degree with 4+ years of CS/CE/ML or related experience.\n\nExperience in patents or publications at top‑tier peer‑reviewed conferences or journals.\n\nProficiency in Java, C++, Python, or related languages.\n\nBackground in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high‑performance computing.\n\n1+ year of building machine learning models for business applications.\n\n2+ years of applied research experience.\n\nExperience with state‑of‑the‑art deep learning model architecture design and training, optimization, and model pruning.\n\nPreferred Qualifications\n\nExperience using Unix/Linux.\n\nProfessional software development experience.\n\nPhD or Master’s degree in computer science, machine learning, engineering, or related fields.\n\nExperience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe, and PyTorch.\n\nStrong analytical skills, attention to detail, and effective communication abilities.\n\nExperience collaborating with cross‑functional teams.\n\nExperience in developing and implementing algorithms and models for supervised fine‑tuning and reinforcement learning.\n\nExperience with patents or publications at top‑tier peer‑reviewed conferences or journals.\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\n#J-18808-Ljbffr","datePosted":"2026-06-20T04:55:38.148Z","dateModified":"2026-06-20T04:55:38.148Z","hiringOrganization":{"@type":"Organization","name":"Amazon","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"67ca3a2ff0016e42a105cbb2"},"url":"https://jobsearcher.com/jobs/67ca3a2ff0016e42a105cbb2"}}