Model Salary at Seattle Models Guild BETA

Description Are you interested in applying your technical skills to address customer impacting problems at Amazons large scale? Are you interested in driving the development of methods, models and systems for state-of-the-art transportation and fulfillment systems? We are looking for a versatile scientist has research and software development experience. In this role, your tasks may vary day to day depending on evolving needs. The ideal candidate should be able to switch context and contribute to the need of the hour. If this sounds interesting to you and how you like to work then this is the job for you. At Amazon, our team is responsible for developing an in-depth understanding of our current fulfillment network and designing our future networks. We belong to the primary science organization in Amazon Operations that works on a variety of strategic problems in key areas including but not limited to inbound, outbound, inventory placement, air and ground transportation. As an engineeri

Description Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Artificial General Intelligence (AGI) organization where our mission is to create a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal can

Description Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Artificial General Intelligence (AGI) organization where our mission is to create a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal can

Postdoctoral Fellow - Statistical Machine Learning, Computational Biology, and Genomics Job Summary: The Genomic Data Modeling lab at Seattle Children's Research Institute, led by Dr. Mohammadi, seeks highly motivated Postdoc interested in method development to join ongoing systems genetics and precision medicine projects. We use a statistical machine learning approach to address problems in biomedical research, including modeling variation in the non-coding genome, identifying genetic variation that contributes to disease, and analyzing multi-omics data. Our research is at the interface of Machine Learning and Statistical Genetics. We develop and apply mathematical frameworks, statistical models, and deep learning to address the computational challenges of analyzing genome variation and its effect on human health. We participate in basic research as part of large functional genomics consortia and collaborate closely with medical doctors in the clinic to ensure a translational impact.

Description Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Artificial General Intelligence (AGI) organization where our mission is to create a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal can

Description The Alexa Conversational Assistants Services (CAS) org is looking for a Principal Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features and explore new possibilities with LLM empowerment. You will own high visibility programs with broad visibility and impact. You will interact with a cross-functional team of science, product, and engineering leaders. As a Principal Scientist within Alexa, you are a trusted part of the technical leadership. You bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organiza

Accenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen servicescreating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 750,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the worlds leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 3

AIML - Machine Learning Engineer, Foundation Models Seattle,Washington,United States Machine Learning and AI We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products. **Description** We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundat