mid data engineering Database Engineer ic
$280,000 – $850,000
USD per year

About this role

Anthropic is hiring a mid-level Database Engineer in the data engineering function based in San Francisco, CA | New York City, NY | Seattle, WA. The posting calls out experience with LLMs, Distributed Systems, Data Structures, Machine Learning. Compensation is listed at $280,000–$850,000 per year.

Role
Database Engineer
Function
data engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
San Francisco, CA | New York City, NY | Seattle, WA
Department
AI Research & Engineering

More roles at Anthropic

Art Director, Enterprise
San Francisco, CA · director
Figma OpenAI
Biological Safety Research Scientist
San Francisco, CA · mid
Python LLMs Security
Business Development Representative
Seoul, South Korea · mid
SQL Salesforce API Development
Campus Security Manager
New York City, NY · principal
Security Compliance Incident Response
Certification Development Lead
New York City, NY | San Francisco, CA · mid
AWS GCP Azure
All Anthropic jobs →

Job description

from Anthropic careers

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:

Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML also.

You may be a good fit if you:

  • Have significant software engineering or machine learning experience, particularly at supercomputing scale
  • Are results-oriented, with a bias towards flexibility and impact
  • Pick up slack, even if it goes outside your job description
  • Enjoy pair programming (we love to pair!)
  • Want to learn more about machine learning research
  • Care about the societal impacts of your work

Strong candidates may also have experience with:

  • High performance, large-scale ML systems
  • GPU/Accelerator programming
  • ML framework internals
  • This is an excerpt. Read the full job description on Anthropic careers →
All data engineering jobs data engineering in San Francisco, CA Jobs in San Francisco, CA data engineering salaries data engineering career path
All Anthropic Jobs Browse data engineering roles mid positions