Software Engineer, Data Ingestion

As a Software Engineer on the Data Ingestion team at Anthropic, your main responsibilities will include developing and maintaining our large-scale web crawler, building data ingestion pipelines, and ensuring high-quality assessments of data from partners. You'll also focus on improving the systems' observability and debugging processes, working closely with teammates to streamline our data acquisition efforts.

To thrive as a Software Engineer in Data Ingestion at Anthropic, you should have extensive experience in building and managing large distributed systems, understanding the implications of internet-scale crawling, and having a firm grasp of Python. Familiarity with cloud-based solutions and a commitment to ethical data practices are also key qualifications.

Yes, Anthropic does sponsor visas for the Software Engineer, Data Ingestion position but recognizes that they may not be able to sponsor every candidate. If you receive an offer, the company will make every reasonable effort to assist you in obtaining the necessary visa.

The expected salary range for the Software Engineer, Data Ingestion position at Anthropic is between $315,000 and $340,000 USD annually, reflecting our commitment to competitive compensation for talented individuals.

At Anthropic, we strive to create a diverse and inclusive workplace which is why we encourage candidates from underrepresented groups to apply for the Software Engineer, Data Ingestion position, even if they do not meet every qualification. We believe diversity is vital for innovation in AI technology.

When answering this question, provide specific examples from your previous roles where you designed, built, or maintained distributed systems. Highlight any challenges you faced and how you overcame them, making sure to showcase your technical skills and collaborative efforts.

Discuss your approach to data quality by mentioning validation processes, monitoring data sources, and implementing quality assurance checks. Share specific experiences where you've successfully improved data quality in previous projects.

Explain that compliance with web crawling policies is critical for ethical data scraping. Share your knowledge of how you stay up-to-date on such guidelines and any methods you have employed in previous roles to ensure adherence to them.

Share a detailed story about a project where you enhanced system observability. Focus on the tools and techniques you used, how you measured success, and the impact your improvements had on team efficiency and error resolution.

Articulate your understanding of data privacy laws and ethical considerations in data acquisition. Discuss your commitment to safeguarding user data and how you have navigated data privacy concerns in past projects.

Elaborate on your methodology for debugging in distributed environments. Discuss any tools you use, such as logging systems or performance metrics, and share an anecdote demonstrating your problem-solving capabilities.

Break down the steps you would take in designing a specialized crawler by considering factors such as the type of data source, specific requirements, and intended use of the data. Discuss scalability, efficiency, and any algorithms that would be beneficial.

Share relevant experience you have using cloud services to support distributed systems. Highlight specific cloud providers you have worked with and describe how you've leveraged their tools for data processing and storage.

Provide an example of a project where collaboration was essential. Discuss the roles of your team members and how working together helped you achieve your goals, emphasizing communication and shared objectives.

Express your excitement for Anthropic's mission and values. Discuss how your skills align with the company's goals and your desire to contribute to impactful AI research, showcasing your passion for technology and its positive societal implications.