Machine Learning Engineer for Gen AI
3 weeks ago
Company Overview
Amazon Advertising is a rapidly growing business within Amazon, responsible for helping merchants and advertisers succeed through native advertising. Our goal is to provide an efficient way for advertisers to meet their business objectives while building a sustainable business that continuously innovates on behalf of customers.
Job Description
We are looking for a talented Machine Learning Engineer to join our Creative X team within Amazon Advertising. The successful candidate will be part of a close-knit team of applied scientists and machine learning engineers who are highly collaborative and at the top of their respective fields.
The primary responsibility of this role is to drive end-to-end GenAI projects with high ambiguity, scale, and complexity. You will build Machine Learning models, perform proof-of-concept experiments, optimize, and deploy your models into production in collaboration with software engineers. Additionally, you will analyze and model enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising the shopper experience.
Required Skills and Qualifications
To be successful in this role, you should have:
- 5+ years of experience in building machine learning models for business applications
- PhD or Master's degree with 3+ years of applied research experience
- Knowledge of programming languages such as C/C++, Python, Java, or Perl
- Experience with neural deep learning methods and machine learning
- Experience with GenAI model training and tuning
Benefits
As a Machine Learning Engineer at Amazon, you can expect:
- A competitive salary: $172,700 - $242,000 per year (base pay range)
- An opportunity to work with a diverse and inclusive team
- A comprehensive benefits package, including medical, financial, and other benefits
- Professional growth and development opportunities
Salary Information
The base pay for this position ranges from $172,700/year in our lowest geographic market up to $242,000/year in our highest geographic market. Pay is based on a number of factors, including market location and job-related knowledge, skills, and experience.
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