mid machine learning Applied Scientist ic 1+ yrs Master's · Posted May 13, 2026
$161,803 – $193,200
USD per year

About this role

Amazon is hiring a mid-level Applied Scientist in the machine learning function based in Boston, MA. The posting calls out experience with Python, Java, Deep Learning, Machine Learning and roughly 1+ years of relevant work. Listed education preference: a master's degree or equivalent. Compensation is listed at $161,803–$193,200 per year.

Role
Applied Scientist
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Boston, MA
Work mode
On-site
Experience
1+ years
Education
Master's degree
Department
Corporate Operations
Posted
May 13, 2026
AI Summary
Design, develop, and deploy machine learning and NLP models for business applications. Build statistical models, optimize algorithms, and mentor junior engineers. Requires master's degree in CS/ML/Statistics with 1 year ML experience, or bachelor's with 5 years experience. Must know Python, Java, or C++ and have supervised/unsupervised ML expertise.

Job description

from Amazon careers
Employer: Amazon Development Center U.S., Inc.
Position: Applied Scientist II - AMZ27057.1
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 – Affirmative Action Employer – 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. Applicants should apply via Amazon's internal or external careers site.

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.

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