Applied Scientist III - AMZ10165497

Amazon

Seattle (WA)

On-site

USD 183,800 - 248,700

Full time

14 days+

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Job summary

Amazon Development Center U.S., Inc. in New York, NY is seeking an Applied Scientist III. The role focuses on designing and deploying data-driven ML/NL models to address business and engineering challenges.

The candidate will develop statistical models, including Bayesian and deep neural networks, run experiments in production, and mentor junior team members while contributing to a total compensation package with equity and benefits.

Qualifications

  • Master’s degree (or equivalent) in CS/ML/Engineering with 2 years of related work/research experience; or a BA/BS with 5 years of progressive experience.
  • At least 1 year of experience in Java, C++, Python and developing ML models for projects.

Responsibilities

  • Design, develop, evaluate, deploy and update data-driven ML/NL models and analytic solutions.
  • Apply statistical modeling, Bayesian, deep learning and other ML techniques for business/engineering use cases.
  • Mentor junior engineers and scientists and drive experiments in production environments.

Skills

Java
C++
Python

Education

Master’s degree in Computer Science / ML / Engineering
Bachelor’s degree + 5+ years of relevant experience

Job description

Job ID: 10473168 | Amazon Development Center U.S., Inc. - B02

MULTIPLE POSITIONS AVAILABLE

Employer: AMAZON DEVELOPMENT CENTER U.S., INC.

Offered Position: Applied Scientist III

Job Location: New York, New York

Job Number: AMZ10165497

Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

Position Responsibilities

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, and run and analyze experiments in a production environment. Identify new opportunities for research in order to meet business goals. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.

Position Requirements

Master’s degree or foreign equivalent degree in Computer Science, Machine Learning, Engineering, or a related field and two years 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 degree in Computer Science, Machine Learning, Engineering, or a related field and five years of progressive post-baccalaureate research or work experience in the job offered or a related occupation as equivalent to the Master’s degree and two years of research or work experience. Must have one year of research or work experience in the following skill(s): (1) programming in Java, C++, Python, or equivalent programming language; and (2) conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects in business, science, or engineering.

40 hours / week, 8:00am-5:00pm, Salary Range $183,800/year to $248,700/year.

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: https://www.aboutamazon.com/workplace/employee-benefits.

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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