Machine Learning Engineer • Mid-Level

Who you are

You have a strong background in machine learning and compiler design, with experience in optimizing performance for complex ML models. You are proficient in Python and have hands-on experience with frameworks such as TensorFlow, PyTorch, and JAX. Your understanding of deep learning architectures enables you to make informed decisions on compiler optimizations. You possess excellent technical communication skills, allowing you to collaborate effectively with internal teams and external stakeholders.

You are familiar with the intricacies of large language models and have a passion for solving challenging optimization problems. Your experience in object-oriented programming languages equips you to tackle the complexities of compiler development. You thrive in a collaborative environment and are eager to contribute to innovative solutions that democratize access to AI technologies.

What you'll do

In this role, you will be responsible for building the next generation Neuron compiler, transforming ML models for deployment on AWS Inferentia and Trainium servers. You will engage in solving hard compiler optimization problems to achieve optimal performance across various ML model families. Your work will directly impact the efficiency and usability of the Neuron SDK, making it easier for developers to leverage AI hardware.

You will collaborate closely with cross-functional teams, including hardware engineers and product managers, to bring new features to market. Your role will involve pre-silicon design discussions and ensuring that the Neuron compiler meets performance benchmarks. You will also be involved in technical documentation and user support, helping to guide users in utilizing the Neuron SDK effectively.

What we offer

At Amazon, you will be part of a team that is at the forefront of the AI revolution. We offer competitive compensation packages, including equity and comprehensive benefits. You will have the opportunity to work in a dynamic environment that encourages innovation and professional growth. Join us in making deep learning accessible to developers everywhere.