Performance Engineer
Anthropic · San Francisco, CA | New York City, NY | Seattle, WA · AI Research & Engineering · listed April 22, 2024
The shape of it
Seniority
Not stated
Where
Hybrid
Stated pay
$280,000 – $850,000 USD
Requirements listed
6
Length
790 words
In the posting’s own words
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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
What it asks for · 6
- 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
Also a plus
- High performance, large-scale ML systems
- GPU/Accelerator programming
- ML framework internals
- OS internals
- Language modeling with transformers
Tools and skills named
Models & research
- Machine learning4×
- GPU2×
- Inference
- LLM
Ways of working
- Slack
Words the posting leans on
- implement3×
- models3×
- system3×
- experience2×
- impact2×
- internals2×
- language2×
- machine learning2×
- network2×
- pair2×
- performance2×
- programming2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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