Join to apply for the Senior / Staff Engineer, Data Infra role at Anthropic
Join to apply for the Senior / Staff Engineer, Data Infra role at Anthropic
About Anthropic
Make sure to apply with all the requested information, as laid out in the job overview below.
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 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.
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 a Research Engineer to join our Pretraining 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.
Key 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
Qualifications
5+ YOE outside of internships
Strong software engineering skills with experience in building distributed systems
Expertise in Python and hands-on experience with distributed computing frameworks, particularly Apache Spark
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
Preferred Experience
Advanced degree (MS or PhD) 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
You'll thrive in this role if you
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
At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech.
If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you!
Annual Salary:
The expected salary range for this position is:
$315,000 - $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 think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.Seniority level Seniority levelMid-Senior level
Employment type Employment typeFull-time
Job function Job functionEngineering and Information Technology
IndustriesResearch Services
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