Do you want to drive machine learning work that enables the highly scalable, massive throughput machine translation service at the core of Amazon's product localization? Work with MT and LLM technology to improve how we make Amazon available across the globe?
Join the Consumer Localization team and become part of a group of machine learning scientists and engineers dealing with some of the largest scale problems across Amazon. We create automatically billions of product pages on all Amazon marketplaces enabling many millions of customers worldwide to shop in their native language.
Like challenging, fast pace environments and have a passion for data, languages, and other cultures? Enjoy working with engineers and scientists in an organization that deals with some of the largest scale problems across Amazon.
This is a unique opportunity at Amazon with great exposure: all of Amazon’s customers worldwide will be your customers. Come join us in our beautiful office in the beating heart of Europe - Berlin.
Key job responsibilities
You will act as a builder and architect:
- shaping the architectural vision for a team of highly skilled machine learning specialists in the product localization space.
- being responsible for instilling best practices for software development and documentation in an ML space, making sure designs meet requirements
- broaden our vision on how we can apply ML technology to further improve all stages of the product localization process
- help us leverage the potential of latest developments on LLMs and Gen AI to improve customer experience across many languages
- actively troubleshooting and supporting applications in production critical environments.
We are open to hiring candidates to work out of one of the following locations:
Berlin, BE, DEU
- Experience (non-internship) in professional software development
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience programming with at least one software programming language
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience building Machine Translation or other NLP technologies at scale.
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