Amazon Machine Learning Engineer III AGI Foundations 

Poland, Pomeranian Voivodeship, Gdansk 

76590987

Key job responsibilities
* Design, develop, test and deploy inference solutions for high-end LLMs
* Create solutions that facilitate the usage and building of artificial intelligence workflows and optimize them for cost and latency.
* Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
* Build solutions on top of AWS that are easy to use for customers, scalable, fault-tolerant and great to manage.
* Collaborate with cross-functional teams of engineers and scientists to identify and solve complex problems in GenAI
* Mentor and guide junior engineers, and contribute to the overall growth and development of the team
* Perform on-call duty to ensure an exceptionally frictionless experience for customers.A day in the life

* 5+ years of non-internship, professional software development experience
* 5+ years of programming with at least one modern language such as Java, C++, or C# including object-oriented design experience
* Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
* Experience building complex software systems that have been successfully delivered to customers
* Solid knowledge of Machine Learning algorithms and techniques
* Experience as a mentor, tech lead or leading an engineering team

* Masters's degree in computer science or equivalent
* 5+ years of experience of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
* Experience working with transformer architectures, inference optimization technics and Large Language Models
* Excellent problem-solving skills, with the ability to think creatively and critically about complex problems
* Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams