Skills

Communication Python Apache Spark Monitoring Configuration Management Quality Assurance Problem-solving Research Attention to detail Training Architecture Systems Architecture Machine Learning apache Artificial Intelligence Spark Large Language Models

Job Specifications

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About The Role

Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking Staff level Engineer/TLM to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

Responsibilities

Design and implement high-performance data processing infrastructure for large language model training
Develop and maintain core processing primitives (e.g., tokenization, deduplication, chunking) with a focus on scalability
Build robust systems for data quality assurance and validation at scale
Implement comprehensive monitoring systems for data processing infrastructure
Create and optimize distributed computing systems for processing web-scale datasets
Collaborate with research teams to implement novel data processing architectures
Build and maintain documentation for infrastructure components and systems
Design and implement systems for reproducibility and traceability in data preparation

You May Be a Good Fit If You Have

7+ YOE outside of internships
Strong software engineering skills with experience in building distributed systems
Expertise in Python
Hands-on experience with distributed computing frameworks, particularly Apache Spark is a must
Deep understanding of cloud computing platforms and distributed systems architecture
Experience with high-throughput, fault-tolerant system design
Strong background in performance optimization and system scaling
Excellent problem-solving skills and attention to detail
Strong communication skills and ability to work in a collaborative environment
Advanced degree in Computer Science or related field
Experience with language model training infrastructure
Strong background in distributed systems and parallel computing
Expertise in tokenization algorithms and techniques
Experience building high-throughput, fault-tolerant systems
Deep knowledge of monitoring and observability practices
Experience with infrastructure-as-code and configuration management
Background in MLOps or ML infrastructure

Strong Candidates May Have

Have significant experience building and maintaining large-scale distributed systems
Are passionate about system reliability and performance
Enjoy solving complex technical challenges at scale
Are comfortable working with ambiguous requirements and evolving specifications
Take ownership of problems and drive solutions independently
Are excited about contributing to the development of safe and ethical AI systems
Can balance technical excellence with practical delivery
Are eager to learn about machine learning research and its infrastructure requirements

Sample Projects

Designing and implementing distributed computing architecture for web-scale data processing
Building scalable infrastructure for model training data preparation
Creating comprehensive monitoring and alerting systems
Optimizing tokenization infrastructure for improved throughput
Developing fault-tolerant distributed processing systems
Implementing new infrastructure components based on research requirements
Building automated testing frameworks for distributed systems

The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Annual Salary

$340,000 - $425,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We thin

About the Company

We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability. Know more