Senior Applied Scientist, Artificial General ...

Job ID: 2751763 | Services LLCScroll down to find the complete details of the job offer, including experience required and associated duties and tasks.The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading technology with Large Language Models (LLMs) and multi-modal systems. You will lead projects that work on cutting edge technologies including multi-modal model alignment, moderation systems and evaluation.Key job responsibilitiesAs a Senior Applied Scientist with the AGI team, you will lead the development of novel algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI). You are also expected to publish in top tier conferences.About the teamThe AGI team has a mission to push the envelope in LLMs and multimodal systems. Specifically, we focus on model alignment with an aim to maintain safety while not denting utility, in order to provide the best-possible experience for our customers.BASIC QUALIFICATIONSPhD, or Master's degree and 5+ years of applied research experience5+ years of building machine learning models for business application experienceExperience programming in Java, C++, Python or related languageExperience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONSPhD in Computer Science, Electrical Engineering, Mathematics or related fieldStrong experience with multi-modal model alignment, moderation systems, and evaluation with Generative Artificial Intelligence (GenAI)Experience with patents or publications at top-tier peer-reviewed conferences or journalsExperience with popular deep learning frameworks, including PyTorchAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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 January 25, 2024#J-18808-Ljbffr

Created: 2025-01-01