Applied Scientist, EU InTech Consumer Selection

Amazon; Madrid; Presencial; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

A leading company is seeking an Applied Scientist to join their Tools and Machine Learning team in Madrid. The role focuses on solving complex catalog quality problems through innovative machine learning solutions. Candidates should have a strong background in machine learning, experience with programming languages, and a relevant degree. This position offers significant impact on customer experience and opportunities for professional growth.

Formación

• Experience building machine learning models for business applications.
• Experience with patents or publications in peer-reviewed conferences.

Responsabilidades

• Work closely with business partners to identify innovation opportunities.
• Apply machine learning solutions to improve catalog data quality.
• Collaborate on design, development, testing, and deployment of services.

Conocimientos

Machine Learning

Problem Solving

Data Analysis

Educación

PhD

Master’s Degree

Herramientas

Java

C++

Python

MxNet

TensorFlow

Descripción del empleo

Applied Scientist, EU InTech Consumer Selection

At Amazon, we are committed to being the Earth’s most customer-centric company. The International Technology group (InTech) owns the enhancement and delivery of Amazon’s engineering to all the varied customers and cultures of the world. We do this through a combination of partnerships with other Amazon technical teams and our own innovative new projects.

You will be joining the Tools and Machine Learning (Tamale) team. As part of InTech, Tamale strives to solve complex catalog quality problems using challenging machine learning and data analysis solutions. You will be exposed to big data and machine learning technologies, along with the entire Amazon catalog technology stack. You will be part of a key effort to improve customer experience by tackling and preventing defects in items in Amazon's catalog.

We are looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading machine learning solutions. We value your hard work and obsession with solving complex problems for Amazon customers.

Key job responsibilities

1. Work closely with business partners to identify opportunities for innovation.
2. Apply machine learning solutions to automate manual processes, scale existing systems, and improve catalog data quality.
3. Collaborate with business leaders, scientists, and product managers to translate requirements into concrete deliverables, including design, development, testing, and deployment of scalable distributed services.
4. Be part of a team of 5 scientists and 13 engineers working on data quality issues at scale.
5. Influence the scientific roadmap of the team and set standards for scientific excellence.
6. Work with state-of-the-art models, including image-to-text, LLMs, and GenAI.

Your work will impact millions of Amazon customers in Europe and beyond. This role offers great customer impact, opportunities for growth, and a chance to be part of an innovative environment.

This position is based in Madrid, Spain.

Minimum qualifications

• Experience building machine learning models or developing algorithms for business applications.
• PhD or Master’s degree.
• Experience with patents or publications in top-tier peer-reviewed conferences or journals.
• Programming experience in Java, C++, Python, or related languages.
• Experience developing and implementing deep learning algorithms, especially in computer vision.

Preferred skills

• Knowledge in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
• Experience with generative deep learning models like CNNs, GANs, VAEs, and NF.
• Familiarity with deep learning frameworks such as MxNet and TensorFlow.

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