About this role
Summary: Design, develop, and deploy data-driven machine learning and natural language models. Apply statistical modeling and optimization techniques to solve business problems while mentoring junior engineers and scientists.
Applied Scientist II (AMZ1513176) (Multiple Positions), Amazon Data Services, Inc., Seattle, WA. Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. (AMZ1513176)
40 hrs/week, Mon-Fri, 8:00 a.m. - 5:00 p.m. Salary Range: $163,617 - $193,200/yr.
Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation
MINIMUM REQUIREMENTS:
Master's degree or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field and (1) one year of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation.
Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field and (5) five years of research or work experience in a related occupation as equivalent to the Master's degree and one year of research or work experience.
Must have (1) one year of research or work experience in the following skill(s): programming in Java, C++, Python, or equivalent programming language; and conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects in business, science, or engineering.
Employer will accept any suitable combination of education, training or experience.
Multiple Positions Available.
Amazon is a total compensation company. Depending 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, visit: https://www.aboutamazon.com/workplace/employee-benefits.#0000
Basic qualifications
MINIMUM REQUIREMENTS:
Master's degree or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field and (1) one year of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation.
Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field and (5) five years of research or work experience in a related occupation as equivalent to the Master's degree and one year of research or work experience.
Must have (1) one year of research or work experience in the following skill(s): programming in Java, C++, Python, or equivalent programming language; and conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects in business, science, or engineering.
Employer will accept any suitable combination of education, training or experience.
Multiple Positions Available.
Amazon is a total compensation company. Depending 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, visit: https://www.aboutamazon.com/workplace/employee-benefits.#0000
Preferred qualifications
Please see job description and the position requirements as mentioned above.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually