Applied Scientist, EU InTech Consumer Selection
Job ID: 2944927 | Amazon Spain Services, S.L.U.
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 partnerships with other Amazon technical teams and our own innovative projects.
You will join the Tools and Machine Learning (Tamale) team. As part of InTech, Tamale aims to solve complex catalog quality problems using machine learning and data analysis solutions. You will work with big data, machine learning technologies, and Amazon's catalog technology stack to improve customer experience by addressing and preventing defects in Amazon's catalog.
We seek a passionate, talented, and inventive Scientist with a strong machine learning background to develop industry-leading solutions. We value your dedication and problem-solving skills on behalf of Amazon customers.
Key Responsibilities
* Collaborate with business partners to identify opportunities for innovation.
* Apply machine learning solutions to automate manual processes, scale systems, and improve catalog data quality.
* Work with business leaders, scientists, and product managers to translate requirements into scalable services.
* Contribute to a team of 5 scientists and 13 engineers solving data quality issues at scale.
* Influence the scientific roadmap and set standards for scientific excellence.
* 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 opportunities for growth, innovation, and fun in a dynamic environment. The position is based in Madrid, Spain.
Basic 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 conferences or journals.
* Programming experience in Java, C++, Python, or related languages.
* Experience developing and implementing deep learning algorithms, especially in computer vision.
Preferred Qualifications
* Experience in algorithms, data structures, parsing, optimization, data mining, or 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.
Amazon is an equal opportunity employer that values diversity. We make hiring decisions based on experience and skills. We prioritize privacy and data security. For accommodations during the hiring process, visit this link.
We do not discriminate based on veteran status, disability, or other protected categories.
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