Anthropic · 2 weeks ago
Machine Learning Systems Engineer, Research Tools
San Francisco, CA
Full-time
Hybrid
Senior Level
$320K/yr - $405K/yrAnthropic is a public benefit corporation focused on creating reliable and beneficial AI systems. They are seeking an experienced Machine Learning Systems Engineer to develop and optimize tokenization systems that enhance their AI model training workflows.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
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
Qualification
Required
Have significant software engineering experience with demonstrated machine learning expertise
Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments
Can work independently while maintaining strong collaboration with cross-functional teams
Are results-oriented, with a bias towards flexibility and impact
Have experience with machine learning systems, data pipelines, or ML infrastructure
Are proficient in Python and familiar with modern ML development practices
Have strong analytical skills and can evaluate the impact of engineering changes on research outcomes
Pick up slack, even if it goes outside your job description
Enjoy pair programming (we love to pair!)
Care about the societal impacts of your work and are committed to developing AI responsibly
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience
Preferred
Working 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
Research environments where engineering directly enables scientific progress
Distributed systems and parallel computing for ML workflows
Large language models or other transformer-based architectures (not required)
Benefits
Competitive compensation and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
A lovely office space in which to collaborate with colleagues
Company
Anthropic
Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values.
Founded in 2021
501-1000 employees
H1B Sponsorship
Anthropic has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (105)
2024 (13)
2023 (3)
2022 (4)
2021 (1)
Funding
Current Stage
Late StageTotal Funding
$33.74BKey Investors
Lightspeed Venture PartnersGoogleAmazon
2025-09-02Series F· $13B
2025-05-16Debt Financing· $2.5B
2025-03-03Series E· $3.5B
Leadership Team
Dario Amodei
Co-Founder and CEO
Daniela Amodei
President and co-founder
Recent News
2026-01-25
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2026-01-25
2026-01-25
Company data provided by crunchbase