Applied Scientist Manager, EU InTech, Item data Quality (IDQ) 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 cutting-edge 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 cutting-edge big data and machine learning technologies, along with the entire Amazon catalog technology stack, and you'll be part of a key effort to improve our customers' experience by tackling and preventing defects in items in Amazon's catalog.
We are looking for a passionate, talented, and inventive Applied Scientist Manager (ASM) with a strong machine learning background and people development skills. As an ASM, you will lead a team of scientists, guiding projects that impact Amazon's catalog worldwide. You will coach your team's work and support their professional growth, while partnering closely with a strong engineering team to productionalise your solutions.
We strongly value your hard work and obsession to solve complex problems on behalf of Amazon customers.
Key job responsibilities
We look for applied scientists managers who possess a wide variety of skills. As the successful applicant for this role, you will work closely with your business partners to identify opportunities for innovation. You will lead a team to apply machine learning solutions to automate manual processes, scale existing systems, and improve catalog data quality, among other tasks. You will collaborate with business leaders, scientists, and product managers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services. You will influence the scientific roadmap of the team, setting the standards for scientific excellence and working with state-of-the-art models, including image to text, LLMs, and GenAI.
Your work will improve the experience of millions of daily customers using Amazon in Europe and other regions. You will have the chance to make a significant customer impact and continue growing in one of the most innovative companies in the world.
This position will be based in Madrid, Spain.
Minimum Requirements:
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field, or Master's degree and 4+ years of building machine learning models or developing algorithms for business applications experience.
3+ years of experience managing scientists or machine learning engineers.
Knowledge of ML, NLP, Information Retrieval, and Analytics.
Experience leading a science team required.
Experience building large-scale deep learning solutions for business required.
Experience programming in Java, C++, Python, or related languages required.
Experience building machine learning models or developing algorithms for business applications.
Experience with building complex software systems involving deep learning, machine learning, and computer vision that have been successfully delivered to customers.
Strong track record of scientific publications at top-tier peer-reviewed conferences or journals required.
Highly skilled at cross-functional collaborations, including the ability to communicate with diverse audiences, deal with ambiguities, and resolve issues required.
Experience with deep learning modeling tools and workflows such as MxNet, TensorFlow, scikit-learn, Spark MLLib, numpy, scipy, etc. required.
Experience with LLM model training and fine-tuning desired.
Experience with deep learning modeling techniques including Transformers required.
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. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use, and transfer the personal data of our candidates.
#J-18808-Ljbffr