Amazon
Applied Scientist
Amazon, Seattle, Washington, us, 98127
Job ID: 2825352 | Amazon Web Services, Inc.As cloud technologies continue to transform businesses, skilled individuals are in high demand. At AWS Training and Certification (T&C), we are passionate about revolutionizing the way people advance their cloud skills and careers. We equip diverse builders of today and tomorrow with the knowledge they need to leverage the power of the AWS Cloud. Join our dynamic, fast-growing team and help us empower our customers to build cloud skills.Key job responsibilities
Design, develop, and evaluate innovative ML models to solve diverse challenges and opportunities across industries.Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.Work with scientists and software engineers to deliver machine-learning and data science solutions to production.Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact.Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.Be the technical practitioner in Machine Learning; lead efforts within this team and across other teams; research new and innovative machine learning approaches.BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.- 3+ years of building models for business application experience.- Experience in patents or publications at top-tier peer-reviewed conferences or journals.- 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 computing.PREFERRED QUALIFICATIONS
- Experience using Unix/Linux.- Experience in professional software development.- Experience with AI, Big Data, large scale distributed systems, online recommendation, personalization, or search.Amazon 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 $136,000/year in our lowest geographic market up to $222,200/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.Posted:
November 9, 2024 (Updated about 22 hours ago)Share this job
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Design, develop, and evaluate innovative ML models to solve diverse challenges and opportunities across industries.Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.Work with scientists and software engineers to deliver machine-learning and data science solutions to production.Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact.Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.Be the technical practitioner in Machine Learning; lead efforts within this team and across other teams; research new and innovative machine learning approaches.BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.- 3+ years of building models for business application experience.- Experience in patents or publications at top-tier peer-reviewed conferences or journals.- 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 computing.PREFERRED QUALIFICATIONS
- Experience using Unix/Linux.- Experience in professional software development.- Experience with AI, Big Data, large scale distributed systems, online recommendation, personalization, or search.Amazon 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 $136,000/year in our lowest geographic market up to $222,200/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.Posted:
November 9, 2024 (Updated about 22 hours ago)Share this job
Important FAQs for current Government employeesBefore proceeding, please review the following FAQs
here .
#J-18808-Ljbffr