Applied Scientist, Kumo

At AWS, we utilize Artificial Intelligence to anticipate every customer's needs across all AWS services before they even have to articulate them. We then ensure they are speedily connected to the most relevant solution for their requirement, fulfilling the vision of an autonomous self-healing cloud. We are actively seeking Machine Learning Scientists / Applied Scientists / ML Scientists with limitless curiosity and motivation to help create a ‘best in the world’ support (contact center) experience that our customers will adore! You will have the chance to lead, invent, and design technology that will directly affect every customer across all AWS services. We are constructing leading-edge technology that incorporates a broad range of ML techniques from Natural Language Processing to Deep Learning and Generative Artificial Intelligence. You will be a vital player in taking something from a concept to an experiment to a prototype and eventually to a live production system. Our team is bursting with principal level engineering, science, product, and leadership talent. We are a results-focused group, and you will have the chance to lead and shape a culture that will pave the way for significant milestones ahead. We fuse the culture of a startup, the ingenuity and creativity of a R&D Lab, the work-life balance of a mature organization, and technical challenges at the scale of AWS. We provide a varied platform of opportunities for builders to create, enjoy, and make history! Key job responsibilities: - Deliver real-world production systems at the scale of AWS. - Collaborate closely with the business to understand the problem space, identify the opportunities, and formulate the problems. - Apply machine learning, data mining, statistical techniques, Generative AI and others to create actionable, significant, and scalable solutions for the business problems. - Analyze and extract relevant information from vast data and generate useful insights. - Collaborate 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 implementation. Our team aims to meet our business objectives by extracting insights from an abundance of datasets like the AWS service metrics and logs, chat and call audio logs, email transcripts, support agent and support case data, customer context and sentiment, and AWS knowledge articles, tools, and workflows. We are an inclusive team at AWS, celebrating our differences. We are committed to promoting our culture of inclusion with ten employee-led affinity groups, reaching over 40,000 employees in over 190 chapters globally. Our team places high emphasis on work-life balance. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. Hence, we encourage flexibility in working hours and promote individual balance between work and personal lives. We are dedicated to supporting our new members with a diverse mix of experience levels and tenures. We are fostering an environment that celebrates knowledge sharing and mentorship. Senior members enjoy one-on-one mentoring and thorough code reviews. We are open to hiring candidates to work from the following locations: Arlington, VA, USA | Bellevue, WA, USA | Herndon, VA, USA | Seattle, WA, USA | Sumner, WA, USA Basic Qualifications: - A PhD, or a Master's degree with 4+ years of experience in a CS, CE, ML or related field - 3+ years of experience in building models for business application - Experience with patents or publications at top-tier peer-reviewed conferences or journals - Proficiency in programming languages such as Java, C++, Python, or a related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer committed to a diverse and inclusive workplace. For disability accommodations, please visit https://www.amazon.jobs/en/disability/us. Amazon's compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year to $222,200/year, depending on the job-related knowledge, skills, and experience. Equity, sign-on payments, and other forms of compensation may also be part of the package, along with a full suite of medical, financial, and other benefits. For more information, visit https://www.aboutamazon.com/workplace/employee-benefits. Applications are accepted on our internal or external career site.