Principal Applied Scientist

Amazon · Asti, Piemonte, Italia · · 70€ - 90€


Descrizione dell'offerta

Overview

Job ID: | Amazon.com Services LLC - A57

At Amazon, we believe that scientific innovation is essential to being the most customer-centric company in the world. Our scientists' ability to have an impact at scale allows us to attract some of the brightest minds in machine learning, artificial intelligence and related fields. Amazon scientists employ the company's working backwards method to identify problems to solve on behalf of customers in research areas ranging from machine learning to operations, GenAI, robotics, quantum computing, computer vision, economics, search, sustainability and more. Learn more about Amazon Science here:

We are hiring across multiple businesses and in many locations across the US. Apply here to learn more about open roles that could be a compelling fit for your background.

Key responsibilities

  • Define key research directions and adopt or invent new machine learning techniques.
  • Conduct rigorous experiments, publish results, and ensure that research is translated into practice.
  • Develop long-term strategies, persuade teams to adopt those strategies, and set goals to deliver on them.
  • Participate in organizational planning, hiring, mentorship, and leadership development.
  • Be technically fearless with a passion for building scalable science and engineering solutions.
  • Serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).

Basic Qualifications

  • PhD in Computer Science, Machine Learning, Statistics, Applied Math or a related quantitative field.
  • 8+ years of relevant, broad research experience after PhD.
  • Publications at top-tier peer-reviewed conferences or journals in reinforcement learning, deep learning, or machine learning.
  • Fluency in Python, SQL or similar scripting languages.
  • Strong algorithm development experience.
  • Depth and breadth in state-of-the-art machine learning technologies.
  • Strong prior experience with mentorship and/or management of senior scientists and engineers.

Preferred Qualifications

  • Experience programming in Java, C++, or related language.
  • Experience in building machine learning models for business application.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Posted: May 28, 2024 (Updated 28 minutes ago)

Posted: July 26, 2024 (Updated 29 minutes ago)

Posted: November 1, 2024 (Updated 31 minutes ago)

Posted: September 30, 2025 (Updated about 1 hour ago)

Posted: February 17, 2025 (Updated about 1 hour ago)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

#J-18808-Ljbffr

Candidatura e Ritorno (in fondo)