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Sr. Applied Scientist, Community Data & Science

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Amazon

Oct 12, 2024

Applications are closed

  • Job
    Full-time
    Senior Level
  • Data
    Research & Development
  • Barcelona

Requirements

  • 3+ years of building machine learning models for business application experience.
  • PhD, or Master's degree and 5+ years of applied research experience.
  • Experience programming in Java, C++, Python or related language.
  • Experience with neural deep learning methods and machine learning.
  • PhD and 7+ years of post-PhD academic or industry applied research experience in building and deploying models for business applications.
  • Experience with professional software development.
  • Publications at top-tier peer-reviewed conferences or journals.

Responsibilities

  • As a Senior Applied Scientist, you will work on state-of-the-art technologies that will result in published papers.
  • However, you will not only theorize about the algorithms but also have the opportunity to implement them and see how they perform in the field.
  • Our team works on a variety of projects, including state-of-the-art generative AI, LLM fine-tuning, alignment, prompt engineering, and benchmarking solutions.
  • You will be also mentoring junior scientists on the team.

FAQs

What experience is required for the Sr. Applied Scientist position?

Candidates should have a PhD and 7+ years of post-PhD academic or industry applied research experience in building and deploying models for business applications, along with experience in machine learning and software development.

What programming languages should I be proficient in for this role?

Proficiency in programming languages such as Java, C++, Python, or related languages is required for this position.

Will I have the opportunity to publish research papers?

Yes, as a Senior Applied Scientist, you will work on state-of-the-art technologies, and you will have the opportunity to publish papers based on your work.

What kind of projects will I be working on?

You will work on a variety of projects including state-of-the-art generative AI, LLM fine-tuning, alignment, prompt engineering, and benchmarking solutions.

Will I be responsible for mentoring other scientists?

Yes, you will have the opportunity to mentor junior scientists on the team.

What is the team focused on?

The Community Data & Science team focuses on analyzing, understanding, structuring, and presenting customer-generated content to help shoppers make informed purchase decisions.

Is there a focus on diversity and inclusion in the hiring process?

Yes, Amazon is committed to employing a diverse workforce and makes recruiting decisions based on experience and skills, valuing passion for discovery and innovation.

What is the main goal of the Community Feedback organization?

The main goal of the Community Feedback organization is to power customer-generated features and insights that help customers use community wisdom to make unregretted shopping decisions.

Is there a specific educational background required for this role?

A PhD, or a Master's degree with 5+ years of applied research experience, is required for this position.

Are there opportunities for professional development within the team?

Yes, working with talented scientists and engineers provides opportunities for professional development, collaboration, and innovation within the team.

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Amazon

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.