Applied Scientist II - AMZ27496.1

Amazon Science; Boston (MA); On-site; USD 162,000 - 193,000; Full time

Benefits offered by this job

Sign-on bonus

Restricted stock units

Medical benefits

Job summary

Amazon Web Services, Inc. in Boston, MA is seeking an Applied Scientist II to design, develop, evaluate, deploy and update data-driven ML and NL applications.

You will build and apply statistical models (including Bayesian and deep neural networks), optimize ML solutions, and routinely deploy models on real data while mentoring junior engineers. The role emphasizes scalable ML deployment in a fast-paced environment with opportunities to advance research and impact across business domains.

Qualifications

• Master's degree in CS/ML/Statistics or equivalent with at least 1 year of related research/work experience.
• Experience programming in Java, C++, Python and developing ML models.

Responsibilities

• Design, develop, evaluate, deploy and update data-driven ML/NL models and analytical solutions.
• Research and implement novel ML/statistical approaches to add business value.
• Mentor junior engineers and scientists.

Skills

Java

C++

Python

ML modeling

Supervised learning

Unsupervised learning

Education

Master's degree in Computer Science / Machine Learning / Statistics

Job description

Description

Employer: Amazon Web Services, Inc.

Position: Applied Scientist II - AMZ27496.1

Location: Boston, MA

Multiple Positions Available

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.

(40 hours / week, 8:00am-5:00pm, Salary Range $161803 - $193200)

Amazon.com is an Equal Opportunity – Aff Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Basic Qualifications

Master's degree or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field and 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 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 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.

The pay range for this position in Boston, MA is $161803 - $193200 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Massachusetts Equal Pay Act. Base pay information is based on market location.

Preferred Qualifications

All applicants must meet all the above listed requirements.

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.