Machine Learning Systems Engineer, Research Tools

Anthropic

4 months ago

New York, NY, USA +2 more

Mid Level / Senior

H1B Sponsor

Base Salary

$320k - $405k/yr

Responsibilities

Design, develop, and maintain tokenization systems used across Pretraining and Finetuning workflows.
Optimize encoding techniques to improve model training efficiency and performance.
Collaborate closely with research teams to understand their evolving needs around data representation.
Build infrastructure that enables researchers to experiment with novel tokenization approaches.
Implement systems for monitoring and debugging tokenization-related issues in the model training pipeline.
Create robust testing frameworks to validate tokenization systems across diverse languages and data types.
Identify and address bottlenecks in data processing pipelines related to tokenization.
Document systems thoroughly and communicate technical decisions clearly to stakeholders across teams.

Significant software engineering experience with demonstrated machine learning expertise.
Comfortable navigating ambiguity and developing solutions in rapidly evolving research environments.
Ability to work independently while maintaining strong collaboration with cross-functional teams.
Results-oriented with a bias towards flexibility and impact.
Experience with machine learning systems, data pipelines, or ML infrastructure.
Proficient in Python and familiar with modern ML development practices.
Strong analytical skills to evaluate the impact of engineering changes on research outcomes.
Willingness to take on tasks outside of the job description.
Enjoy pair programming.

Python