Performance Engineer
- Where you can live
- San Francisco, CA | New York City, NY | Seattle, WA
- Working hours
- Overlap with UTC-10 to UTC-5
- Salary
- USD 280,000 to 850,000 per year
- Posted
- April 22, 2024
Summary from the posting
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
This is a short summary. The full description, requirements and the application form are on Anthropic's own career page.