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Amazon • Luxembourg, LUX
Amazon is hiring an Applied Scientist for their Decision Intelligence team to develop innovative machine learning solutions impacting millions of customers. You'll work with Python and AWS to create production-ready models. This role requires a strong background in machine learning and problem-solving skills.
You have a strong background in machine learning and a proven track record of developing innovative solutions that address complex customer problems. With experience in designing and implementing machine learning models, you are comfortable working on ambiguous challenges where traditional solutions may not apply. You possess deep scientific expertise and are adept at writing production-quality code that meets high standards for maintainability and scalability. Your ability to collaborate with cross-functional teams ensures that you can effectively translate customer needs into actionable solutions. You stay current with the latest research trends and are passionate about applying cutting-edge techniques to real-world problems.
Experience with deploying machine learning models in production environments and optimizing their performance through rigorous testing and iterative improvements is a plus. Familiarity with cloud platforms, particularly AWS, will enhance your ability to contribute to large-scale applications and services. A background in producing research reports with the rigor of top-tier publications will set you apart as a candidate who can document scientific findings and methodologies effectively.
As an Applied Scientist II at Amazon, you will design and develop novel machine learning models and algorithms tailored to solve ambiguous customer problems. Your role will involve extending state-of-the-art scientific techniques and inventing new approaches driven by customer needs at the project level. You will produce internal research reports that document your scientific findings and methodologies, ensuring that your work is reproducible and contributes to the broader knowledge base of the team. You will write production-quality code that meets or exceeds SDE I standards, ensuring that your solutions are testable, maintainable, and scalable. Additionally, you will deploy components directly into production systems, supporting large-scale applications and services.
You will optimize algorithm and model performance through rigorous testing and iterative improvements, contributing to operational excellence by analyzing performance gaps and proposing effective solutions. Collaboration with cross-functional teams will be key to translating complex problems into the best results for our customers. Your influence will extend beyond your immediate team as you work to drive measurable business outcomes through innovative machine learning solutions.
At Amazon, you will be part of a dynamic team that values innovation and scientific rigor. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will have the chance to work on projects that directly impact millions of customers, making your contributions meaningful and rewarding. Our culture encourages collaboration and knowledge sharing, ensuring that you have the support you need to succeed in your role. We believe in fostering an inclusive environment where diverse perspectives are valued, and we encourage you to apply even if your experience doesn't match every requirement.
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