Menlo Ventures
Research Engineer, Data Ingestion
Menlo Ventures, San Francisco, California, United States, 94199
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 We are looking for an experienced Research Engineer to join the Data Ingestion team, which owns the problem of acquiring all of the available data on the internet through a large‑scale web crawler. 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. This role combines hands‑on engineering with data research—you'll build and scale our crawler infrastructure while also conducting experiments to evaluate and improve data quality. Successfully scaling our data corpus is critical to our continued efforts at producing the best pretrained models.
Responsibilities
Develop and maintain our large‑scale web crawler.
Design and run experiments to evaluate data quality, extraction methods, and crawling strategies.
Analyze crawled data to identify patterns, gaps, and opportunities for improvement.
Build pipelines for data ingestion, analysis, and quality improvement.
Build specialized crawlers for high‑value data sources.
Collaborate with Pretraining and Tokens teams to create feedback loops between crawled data and data evaluation results.
Collaborate with team members on improving data acquisition processes.
Participate in code reviews and debugging sessions.
You may be a good fit if you:
Believe in the transformative potential of advanced AI systems.
Are interested in building a large‑scale system to acquire all openly accessible information on the internet.
Have experience with data research, including designing experiments and analyzing results.
Have worked on web crawlers or large‑scale data acquisition systems.
Are comfortable operating in a hybrid research‑engineering role, balancing system building with experimentation.
Logistics Education requirements:
We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! We will make every reasonable effort to help you obtain a visa if we make you an offer.
Compensation:
$320,000 – $405,000 USD per year. Total compensation includes equity, benefits, and may include incentive compensation.
Apply encouragement:
We encourage you to apply even if you do not meet every single qualification.
How we’re different We believe that the highest‑impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large‑scale research efforts. We value impact—advancing our long‑term goals of steerable, trustworthy AI—over smaller problems. We view AI research as an empirical science, with parallels to physics and biology. We are an extremely collaborative group that hosts frequent research discussions. Communication skills are highly valued.
Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space to collaborate with colleagues.
As the legal statement, Anthropic’s Equal Employment Opportunity policy: we do not discriminate on the basis of any protected group status under any applicable law.
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About the Role We are looking for an experienced Research Engineer to join the Data Ingestion team, which owns the problem of acquiring all of the available data on the internet through a large‑scale web crawler. 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. This role combines hands‑on engineering with data research—you'll build and scale our crawler infrastructure while also conducting experiments to evaluate and improve data quality. Successfully scaling our data corpus is critical to our continued efforts at producing the best pretrained models.
Responsibilities
Develop and maintain our large‑scale web crawler.
Design and run experiments to evaluate data quality, extraction methods, and crawling strategies.
Analyze crawled data to identify patterns, gaps, and opportunities for improvement.
Build pipelines for data ingestion, analysis, and quality improvement.
Build specialized crawlers for high‑value data sources.
Collaborate with Pretraining and Tokens teams to create feedback loops between crawled data and data evaluation results.
Collaborate with team members on improving data acquisition processes.
Participate in code reviews and debugging sessions.
You may be a good fit if you:
Believe in the transformative potential of advanced AI systems.
Are interested in building a large‑scale system to acquire all openly accessible information on the internet.
Have experience with data research, including designing experiments and analyzing results.
Have worked on web crawlers or large‑scale data acquisition systems.
Are comfortable operating in a hybrid research‑engineering role, balancing system building with experimentation.
Logistics Education requirements:
We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! We will make every reasonable effort to help you obtain a visa if we make you an offer.
Compensation:
$320,000 – $405,000 USD per year. Total compensation includes equity, benefits, and may include incentive compensation.
Apply encouragement:
We encourage you to apply even if you do not meet every single qualification.
How we’re different We believe that the highest‑impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large‑scale research efforts. We value impact—advancing our long‑term goals of steerable, trustworthy AI—over smaller problems. We view AI research as an empirical science, with parallels to physics and biology. We are an extremely collaborative group that hosts frequent research discussions. Communication skills are highly valued.
Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space to collaborate with colleagues.
As the legal statement, Anthropic’s Equal Employment Opportunity policy: we do not discriminate on the basis of any protected group status under any applicable law.
#J-18808-Ljbffr