Mid-Senior Machine Learning Systems Engineer - AI Research

About the Role

We're hiring a Mid-Senior Machine Learning Systems Engineer to join our team at Anthropic. This role is pivotal in developing and optimizing the encodings and tokenization systems used throughout our Finetuning workflows. As a Machine Learning Systems Engineer, you will work closely with our Pretraining and Finetuning teams, building critical infrastructure that directly impacts how our models learn from and interpret data. This position offers a unique opportunity to contribute to the advancement of AI systems that are reliable, interpretable, and steerable.

What You'll Do

• 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.

Requirements

• 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.
• Passion for responsible AI development and societal impacts of your work.

Nice to Have

• Experience with machine learning data processing pipelines.
• Building or optimizing data encodings for ML applications.
• Implementing or working with BPE, WordPiece, or other tokenization algorithms.
• Performance optimization of ML data processing systems.
• Multi-language tokenization challenges and solutions.

What We Offer

• Annual salary range of $320,000—$405,000 USD.
• Hybrid work policy with flexible working hours.
• Visa sponsorship and relocation package available.
• Generous vacation and parental leave.
• Optional equity donation matching.
• Competitive compensation and benefits.

Join us at Anthropic, where we are committed to creating reliable and beneficial AI systems. Apply now for this exciting opportunity as a Machine Learning Systems Engineer!