Amazon Applied Scientist Manager EU InTech Item data Quality IDQ 

Spain, Community of Madrid, Madrid 

104033785

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 with 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, to scale existing systems and to improve catalog data quality, to name just a few. You will work 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 lead a team of scientists and work closely with an engineering team working on solving data quality issues at scale. You will be able to influence the scientific roadmap of the team, setting the standards for scientific excellence. You will be working with state-of-the-art models, including image to text, LLMs and GenAI.This position will be based in Madrid, Spain

- 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 application experience
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience with leading a science team required
- Experience with building large scale deep learning solutions for business required
- Experience programming in Java, C++, Python or related language required

- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Experience with building and managing a science team required.
- Experience with leading a science team to conduct applied research in a large scale and dynamic corporate setting required.
- Strong track record of scientific publications at top-tier peer-reviewed conferences or journals required.
- Highly skilled at cross-functional collaborations including ability to communicate with diverse audiences, deal 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.