Machine Learning Engineer • Mid-Level

Who you are

You have a strong background in machine learning systems engineering, with experience in developing and optimizing tokenization systems that enhance model training efficiency. Your expertise in Python and familiarity with frameworks like TensorFlow and PyTorch enable you to build robust infrastructure that supports innovative AI research. You thrive in collaborative environments, working closely with research teams to understand their evolving needs and translating them into effective technical solutions.

You possess a deep understanding of encoding techniques and their impact on model performance, allowing you to implement systems that monitor and debug tokenization-related issues effectively. Your experience includes creating testing frameworks that validate tokenization systems across diverse languages and data, ensuring reliability and interpretability in AI systems. You are committed to building AI that is safe and beneficial for users and society.

What you'll do

In this role, you will design, develop, and maintain tokenization systems that are integral to the Pretraining and Finetuning workflows at Anthropic. You will optimize encoding techniques to improve model training efficiency and performance, collaborating closely with research teams to understand their needs around data representation. Your work will involve building infrastructure that enables researchers to experiment with novel tokenization approaches, ensuring that the systems you create are reliable and interpretable.

You will implement systems for monitoring and debugging tokenization-related issues in the model training pipeline, creating robust testing frameworks to validate these systems across various languages and datasets. Your contributions will be foundational to Anthropic's research progress, directly impacting how models learn from and interpret data. You will be part of a quickly growing team of committed researchers and engineers, working together to advance the field of AI.

What we offer

At Anthropic, we offer competitive compensation and benefits, including optional equity donation matching, generous vacation and parental leave, and flexible working hours. Our office in San Francisco provides a collaborative environment where you can work alongside talented colleagues who share your commitment to building beneficial AI systems. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team.