Applied Scientist, AGI Foundations

1 day ago


Boston, United States Amazon.com Services LLC Full time

The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Applied Scientist, to support the development and implementation of state-of-the-art algorithms and models for supervised fine-tuning and reinforcement learning through human feedback and and complex reasoning; with a focus across text, image, and video modalities.As an Applied Scientist, you will play a critical role in supporting the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.Key job responsibilitiesKey job responsibilitiesCollaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AIDesign and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve resultsThink big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problemsCommunicate results and insights to both technical and non-technical audiences, including through presentations and written reportsAbout the teamWe are passionate scientists dedicated to pushing the boundaries of innovation in Gen AI with focus on Software Development use cases for LLMs. BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPREFERRED QUALIFICATIONS- Experience in professional software development- Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members- Experience building state of the art reinforcement learning pipelines for LLMs- Knowledge about latest important benchmarks and LLM-based algorithms applied to software developmentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers.



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