Staff Engineer, Anthropic

Data Infra

$315-425k

+ Optional equity donation matching

Python
Senior and Expert level
San Francisco Bay Area

More information about location

Anthropic

AI safety and research company

Open for applications

Anthropic

AI safety and research company

1001+ employees

B2BArtificial IntelligenceDeep TechMachine LearningSaaS

Open for applications

$315-425k

+ Optional equity donation matching

Python
Senior and Expert level
San Francisco Bay Area

More information about location

1001+ employees

B2BArtificial IntelligenceDeep TechMachine LearningSaaS

Company mission

To create reliable, interpretable, and steerable AI systems.

Role

Who you are

  • 5+ YOE outside of internships
  • Strong software engineering skills with experience in building distributed systems
  • Expertise in Python and experience with distributed computing frameworks
  • 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
  • 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
  • We require at least a Bachelor's degree in a related field or equivalent experience

Desirable

  • 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

What the job involves

  • 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
  • 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
  • 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

Share this job

View 144 more jobs at Anthropic

Insights

Top investors

190% employee growth in 12 months

Glassdoor (4.3)

Glassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star icon

Trustpilot (1.7)

Company

Company benefits

  • Comprehensive health, dental, and vision insurance for you and your dependents
  • Inclusive fertility benefits via Carrot Fertility
  • Generous subsidy for OneMedical
  • 21 weeks of paid parental leave
  • Unlimited PTO
  • Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant
  • 401(k) plan with 4% matching
  • $500/month flexible wellness stipend
  • Commuter coverage
  • Annual education stipend
  • A home office improvement stipend when you first join
  • Relocation support for those moving to the Bay Area

Funding (last 2 of 12 rounds)

Mar 2025

$3.5bn

SERIES E

Jan 2025

$1bn

GROWTH EQUITY VC

Total funding: $16.3bn

Our take

Funded by Google and founded by ex-OpenAI employees, Anthropic is an AI company focused on building a reliable, innovative AI system. While the company is relatively new to the market it has already launched a highly anticipated AI chat assistant called Claude which is set to rival OpenAI's ChatGPT.

Similar to other chatbots, Claude is accessible through a chat interface and can provide a number of conversation and text-processing tasks. A key point of differentiation is that Claude is designed to produce less harmful outputs than that of the other chatbots that came before it.

While there is much praise for the chat assistant, there is still room for improvement with feedback reporting that Claude is worse at maths and grammar compared to its rival. However, with industry giants like Google backing this company from an early stage, it is clear Anthropic has the potential to become a leading player within the AI industry.

Freddie headshot

Freddie

Company Specialist at Welcome to the Jungle