Lionheart Ventures
Software Engineer, Data Acquisition (Crawler)
Lionheart Ventures, San Francisco, California, United States, 94199
About the role:
We are looking for a Software Engineer to lead the “Tokens: Data Acquisition” team, which owns the problem of acquiring all of the available data on the internet through a large scale web crawler, and through data partnerships. Most of Anthropic’s research and product builds on top of the best pretrained models that we can produce, which in turn rely on having the best pretraining data. Successfully scaling our data corpus is critical to our continued efforts at producing the best pretrained models.The team’s responsibilities are as follows:Develop and maintain an internet scale web crawler responsible for crawling for accessible internet dataBuild required pipelines to quickly ingest data from potential partners for data quality assessments or from other sourcesBuild a set of 1-off deep crawlers to improve recall for data from especially beneficial sourcesResponsibilities:
Develop and maintain our large-scale web crawlerBuild pipelines for data ingestion, analysis, and quality improvementBuild specialized crawlers for high-value data sourcesBuild tools for improving the observability and debuggability of the crawler systemCollaborate with team members on improving data acquisition processesParticipate in code reviews and debugging sessionsYou may be a good fit if you:
Believe that advanced AI systems could have a transformative effect on the world, and are interested in helping make sure that transformation goes wellAre interested in building a large scale system to acquire all openly accessible information on the internetStrong candidates may also:
Extensive experience with building and running large distributed systemsFamiliarity with the non-technical tradeoffs of internet-scale crawling (data privacy, robots.txt adherence, etc.)Technical expertise: Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systemsFamiliarity with Cloud-based compute and storage solutionsFamiliarity with PythonDeadline to apply:
None. Applications will be reviewed on a rolling basis.
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We are looking for a Software Engineer to lead the “Tokens: Data Acquisition” team, which owns the problem of acquiring all of the available data on the internet through a large scale web crawler, and through data partnerships. Most of Anthropic’s research and product builds on top of the best pretrained models that we can produce, which in turn rely on having the best pretraining data. Successfully scaling our data corpus is critical to our continued efforts at producing the best pretrained models.The team’s responsibilities are as follows:Develop and maintain an internet scale web crawler responsible for crawling for accessible internet dataBuild required pipelines to quickly ingest data from potential partners for data quality assessments or from other sourcesBuild a set of 1-off deep crawlers to improve recall for data from especially beneficial sourcesResponsibilities:
Develop and maintain our large-scale web crawlerBuild pipelines for data ingestion, analysis, and quality improvementBuild specialized crawlers for high-value data sourcesBuild tools for improving the observability and debuggability of the crawler systemCollaborate with team members on improving data acquisition processesParticipate in code reviews and debugging sessionsYou may be a good fit if you:
Believe that advanced AI systems could have a transformative effect on the world, and are interested in helping make sure that transformation goes wellAre interested in building a large scale system to acquire all openly accessible information on the internetStrong candidates may also:
Extensive experience with building and running large distributed systemsFamiliarity with the non-technical tradeoffs of internet-scale crawling (data privacy, robots.txt adherence, etc.)Technical expertise: Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systemsFamiliarity with Cloud-based compute and storage solutionsFamiliarity with PythonDeadline to apply:
None. Applications will be reviewed on a rolling basis.
#J-18808-Ljbffr