Senior Applied Scientist, Kumo
3 weeks ago
At AWS, we use Artificial Intelligence to be able to identify every need of a customer across all AWS services before they have to tell us about it, and then find and seamlessly connect them to the most appropriate resolution for their need, eventually fulfilling the vision of a self-healing cloud. We are looking for Machine Learning Scientists / Applied Scientists / ML Scientists with unfettered curiosity and drive to help build “best in the world” support (contact center) experience that customers will loveYou will have an opportunity to lead, invent, and design tech that will directly impact every customer across all AWS services. We are building industry-leading technology that cuts across a wide range of ML techniques from Natural Language Processing to Deep Learning and Generative Artificial Intelligence. You will be a key driver in taking something from an idea to an experiment to a prototype and finally to a live production system.Our team packs a punch with principal level engineering, science, product, and leadership talent. We are a results focused team and you have the opportunity to lead and establish a culture for the big things to come. We combine the culture of a startup, the innovation and creativity of a R&D Lab, the work-life balance of a mature organization, and technical challenges at the scale of AWS. We offer a playground of opportunities for builders to build, have fun, and make historyKey job responsibilities- Deliver real world production systems at AWS scale.- Work closely with the business to understand the problem space, identify the opportunities and formulate the problems.- Use machine learning, data mining, statistical techniques, Generative AI and others to create actionable, meaningful, and scalable solutions for the business problems.- Analyze and extract relevant information from large amounts of data and derive useful insights.- Work with software engineering teams to deliver production systems with your ML models- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationA day in the lifeAbout the teamWhy AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of building machine learning models for business application experience- 3+ years of building machine learning models or developing algorithms for business application experience- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability- Knowledge of programming languages such as C/C++, Python, Java or PerlPREFERRED QUALIFICATIONS- PhD- Experience with neural deep learning methods and machine learningAmazon 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 https://www.amazon.jobs/en/disability/us.Our 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Senior Applied Scientist, Cloud AI
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Bellevue, United States Amazon Web Services, Inc. Full timeKumo (pronounced ‘Koo-mo’, the Japanese word for "cloud") is the global product and engineering organization for AWS Support. Kumo provides software and technology services that intelligently anticipate and resolve AWS customer needs, helping them adopt, optimize and operate within the AWS cloud at scale. Kumo’s products, used by AWS customers and the...
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Bellevue, Washington, United States Amazon Full timeSenior Applied Scientist, Alexa Enterprise ProductsAmazon is seeking a highly skilled Senior Applied Scientist to lead the development and implementation of state-of-the-art ML systems for Alexa Enterprise use cases.Key Responsibilities:Drive the development of conversational assistants based on Large Language Models (LLMs) that meet enterprise...
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Bellevue, Washington, United States Amazon Full timeJob Title: Senior Applied Scientist, Conversational AI Modeling and LearningAmazon is seeking a highly skilled Senior Applied Scientist to join our Conversational AI Modeling and Learning team. As a key member of our team, you will be responsible for developing and implementing cutting-edge conversational AI solutions that enable natural and contextual...
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Bellevue, Washington, United States Amazon Full timeJob SummaryWe are seeking a highly skilled Senior Applied Scientist to lead the development and implementation of cutting-edge algorithms for Generative Artificial Intelligence (GenAI) models.Key ResponsibilitiesDesign and execute experiments to evaluate the performance of different decoding algorithms and models.Develop deep learning models for compression,...
