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anthropic

Pre-training Data Infrastructure Engineer

Anthropic is seeking a highly skilled Pre-training Data Infrastructure Engineer to join our core AI infrastructure team. This role involves managing the entire lifecycle of data used for training state-of-the-art foundation models. You will be responsible for building resilient, scalable data pipelines capable of processing petabytes of diverse text and code datasets efficiently. Key tasks include implementing version control for massive datasets, optimizing data formats for high throughput computation, and collaborating with research teams to ingest novel data modalities. The ideal candidate possesses deep expertise in cloud computing architectures (e.g., Kubernetes, Spark), advanced knowledge of distributed systems principles, and exceptional Python programming skills. This position is crucial to Anthropic's ability to scale its LLM capabilities while maintaining the highest standards of data quality and integrity.

anthropic San Francisco, CA, United States

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

bereiten sich vor

1200

Fragensatz

150

Dauer

Permanent

Schwerpunkte

Data PipelinesDistributed SystemsPythonMLOps

People Also Ask (FAQs)

What is the last date to apply for Pre-training Data Infrastructure Engineer?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Pre-training Data Infrastructure Engineer?

Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.

Is there negative marking in the anthropic test?

The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.

What is the passing marks for this test?

The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.

How can I prepare for the Pre-training Data Infrastructure Engineer test?

Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Data Pipelines, Distributed Systems, Python, MLOps.

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Sieh dir die Stellenzusammenfassung an und starte dann die Vorbereitung im gewohnten Prüfungsablauf.

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