Research Engineer / Research Scientist, Multimodal - job 1 of 2

As a Research Engineer / Research Scientist at Anthropic, you'll work primarily on the research, development, and infrastructure of large language models, specifically focusing on multimodal capabilities. Your responsibilities will include building infrastructure, developing research prototypes, running large-scale training jobs, and contributing to high-impact AI research efforts that touch many facets of our work.

To be a strong candidate for the Research Engineer position at Anthropic, you should have substantial software engineering experience, either from industry or academia, as well as research experience through writing scientific publications or projects. Familiarity with machine learning systems, hardware, frameworks, and deep learning research across different modalities is also favorable.

Yes, Anthropic does sponsor visas for the Research Scientist role, making reasonable efforts to assist you with the process if you're offered a position. Although not every role may qualify for visa sponsorship, the company is committed to helping candidates navigate this process.

Collaboration is key at Anthropic, where Research Engineers work closely in a cohesive team environment. There are frequent research discussions and shared efforts on large-scale research initiatives, allowing team members to communicate effectively and align their efforts towards achieving high-impact AI research goals.

The work environment for a Research Scientist at Anthropic is designed to be supportive and collaborative, promoting communication and teamwork. With a flexible hybrid working policy and a lovely office space, you can enjoy meaningful collaboration with colleagues while also having the opportunity to work remotely.

When answering this question, discuss specific projects or research that you've conducted related to multimodal machine learning. Highlight your understanding of various modalities such as text, images, and audio, and emphasize how you've tackled challenges in integrating these different data types.

Be prepared to mention any specific frameworks like TensorFlow, PyTorch, or JAX that you've used. Discuss how these frameworks have assisted you in your projects and any particular challenges you've overcome while using them.

Your answer should outline the steps you take for designing experiments, such as defining clear objectives, selecting appropriate metrics for evaluation, identifying variables, and then analyzing the results. Mention any tools you leverage in this process too.

Discuss your experience with version control systems like Git, the importance of code reviews, how you manage software dependencies, and any methodologies you've followed like Agile or Test-Driven Development. Highlight instances where these practices improved the quality of your work.

Share a specific example where collaboration was key to achieving a project goal. Discuss your role, how you communicated with team members, and any tools you used to facilitate teamwork, such as code sharing platforms or project management systems.

Use this opportunity to express your insights on AI ethics, discuss responsible AI practices, and mention the importance of diversity and representation in AI development. Share thoughts on how ethical considerations can shape research directions.

Mention strategies you employ to stay current, such as following relevant journals, attending conferences, participating in online courses, or engaging in communities. Emphasize your commitment to continuous learning and personal development.

Discuss specific technical and logistical challenges you've encountered while scaling models, and detail the solutions or strategies you implemented to overcome those challenges. Highlight any performance improvements achieved.

Express your confidence in conducting independent research, detailing any prior experiences where you planned, executed, and analyzed results. Highlight your ability to take initiative and drive projects from concept to completion.

In answering, focus on Anthropic’s mission of creating safe and beneficial AI, the collaborative environment, and their innovative approach to AI research. Relate how these factors align with your personal and professional goals.