Machine Learning Engineer, Amazon FAI

• As an MLE on our team, you will design, build, and maintain systems for building frontier quality assets to train and evaluate our GenAI models. You’ll also work closely with our Applied Scientists to

Description

• As an MLE on our team, you will design, build, and maintain systems for building frontier quality assets to train and evaluate our GenAI models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team. We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you. Key job responsibilities • Develop and maintain key tooling for building agentic pipelines to create frontier-level assets, such as RL gyms. • Work closely with product teams, and scientists to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs. • Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility. • Operate in a dynamic environment to deliver high-quality software against tight schedules. About the team The FAI team has the mission to push the envelope in GenAI with LLMs, in order to provide the best-possible experience for our customers.

Basic Qualifications

• - 3+ years of non-internship professional software development experience - 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language

Preferred Qualifications