Lead Multimodal Machine Learning Engineer

3 days ago


Seattle, Washington, United States Amazon Full time

**Company Overview**

We are Amazon, the world's largest online retailer, and we're looking for a talented Principal Applied Scientist to join our IRIS team. Our mission is to create an unrivaled eCommerce experience for our customers by leveraging cutting-edge machine learning techniques.

**Salary**

The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year. Additionally, you may be eligible for equity, sign-on payments, and other forms of compensation as part of a total compensation package.

Job Description

As a Principal Applied Scientist on the IRIS team, you will lead the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. You will work closely with technology and business leaders to build new state-of-the-art algorithms, large multimodal models, and services to infer product-to-product relationships that matter to our customers.

Required Skills and Qualifications

  • PhD with specialization in artificial intelligence, natural language processing, or machine learning
  • 10+ years of combined academic and research experience
  • Functional thought leader, sought after for key tech decisions and influence ideas to executive level decision maker
  • Mentors and trains the research scientist community on complex technical issues
  • Experience developing software in traditional programming languages (C++, Java, etc..)
  • Excellent written and spoken communication skills

Benefits

At Amazon, we offer a comprehensive benefits package, including medical, financial, and other benefits. We are committed to creating a diverse and inclusive workplace where everyone feels welcome and valued.

Others

We use data to guide our decisions, work closely with our engineering and product counterparts, and partner with other Science teams to learn and guide in an environment of innovation.



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