2022 Applied Science Internship – Information Retrieval, NLU, Machine Learning, Time Series Forecasting, Predictive Models

  • Internship
  • Barcelona


2022 Applied Science Internship – Information Retrieval, NLU, Machine Learning, Time Series Forecasting, Predictive Models

Acerca del empleo


Are you a MS or PhD student interested in a 2022 Applied Science Internship in the field of Computer Vision, or Machine Learning/Deep Learning?

Do you enjoy diving deep into hard technical problems and coming up with solutions that enable successful products that improve the lives of people in a meaningful way?

If this describes you, come join our research teams at Amazon. As an Applied Science Intern, you will have access to large datasets with billions of images and video to build large-scale machine learning systems. Additionally, you will analyze and model terabytes of text, images, and other types of data to solve real-world problems and translate business and functional requirements into quick prototypes or proofs of concept.

We are looking for smart scientists capable of using a variety of domain expertise combined with machine learning and statistical techniques to invent, design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

We Are Hiring For The Following Teams In Barcelona

Team Name: Amazon Search Relevance

Domain/Research Focus: Information Retrieval, Statistics, Natural Language Understanding

Team Description: The Amazon Search Relevance team owns ranking relevant results when customers search for products on Amazon. Our systems and algorithms operate on one of the world’s largest product catalogs, surfacing the right products – with a high relevance bar and strict latency constraints. We are looking for Applied Scientists who are excited to improve the search results for hundreds of millions of Amazon customers around the world by developing innovative machine learning-based solutions for hard business and science problems in Search Ranking. We focus on research in Information Retrieval, ML modeling and programming. You will work with the largest online retail search application in the world, both in terms of users and catalogue size. You will have the opportunity to leverage vast AWS computing resources and build solutions to directly improve the experience for millions of our customers.

Team Name: yhat (EU AS APP)

Domain / Research Focus: Time series forecasting, predictive models, decision making

Team description: We leverage Machine Learning to support the Transportation services. Our problems include forecasting the flows of packages in Amazon’s global network, detecting anomalies in time series data, reinforcement learning to make real time decisions and natural language processing to streamline access and exploration of business metrics.

Basic Qualifications

  • Enrolled in a PhD or Master’s degree in Engineering, Computer Science, Machine Learning, Operations Research, Statistics or related fields
  • Experience in Java, C++, SQL, R, MATLAB, Python, or similar scripting and programming languages
  • Experience in design of experiments, statistical analysis, implementing algorithms in computer vision using both toolkits and self-developed code
  • Experience in solving business problems through machine learning, data mining and statistical algorithms

Preferred Qualifications

  • Familiar with the core undergraduate curriculum of computer science.
  • Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.
  • Publications at top-tier peer-reviewed conferences or journals.
  • Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.

This is not a remote internship opportunity.

Equal Opportunities

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.

Applicants who apply for this job will allow Amazon to process your application in a centralized hiring system that considers you for other similar openings as well

EU Student Programs Team

Company – Amazon Spain Services, S.L.

Job ID: A1733260

Por favor, para apuntarte a este trabajo visita www.linkedin.com.