Software Engineer, Infrastructure, Interpretability

Anthropics 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.

When you see what modern language models are capable of do you wonder How do these things work How can we trust them

The Interpretability team at Anthropic works to understand whats actually happening inside trained models - and applies our best techniques to keep frontier AI safe as it rapidly improves.

Think of us as doing neuroscience of neural networks using microscopes we build - or reverse-engineering neural networks like binary programs.

More resources to learn about our work:

• Our Research blog - covering advances including Monosemantic Features and Circuits

• An Intro to Interpretability from our research lead Chris Olah

• The Urgency of Interpretability from CEO Dario Amodei

• Engineering Challenges Scaling Interpretability - directly relevant to this role

• 60 Minutes segment - see a demo of tooling our team built

• New Yorker article - what its like to work on one of AIs hardest open problems

This role is an early hire on a new infrastructure effort within Interpretability: youll help define its charter not just execute it.

Interpretability research requires deep access to frontier models while retaining a high degree of research flexibility. Your job is to build the paved path that makes that access secure by default private by design and low-friction for every researcher. The work spans four areas:

• Security: design the secure-by-default environments and access patterns that enable deep model access for an organization whose research requires it - done well the same design improves both our security posture and research productivity.

• Privacy: build data-access patterns that ensure policy adherence as our research moves from theory into practical application

• Data & Compute Management: manage research data at petabyte scale and make efficient use of large accelerator fleets - storage lifecycle capacity planning and scheduling.

• Developer experience: agentic engineering tooling and observability that keep researchers moving fast

In this role youll be deeply embedded alongside Interp Researchers to understand their workflows - building your understanding of the research as you go; at the same time youll bridge communication with Anthropics wider platform and security teams.. Every hour of researcher friction you remove is multiplied across the whole organization and the infrastructure you build sets the pace at which interpretability results reach real safety decisions.

• Design build and own shared infrastructure for Interpretability - research environments data systems and compute tooling that researchers rely on daily

• Lead cross-team efforts with our agentic engineering security compute and storage platform teams so that company-wide solutions serve research needs

• Discover and resolve major organization-wide developer experience issues

• Help take interpretability methods from research code to dependable audit pipelines

• Are highly proficient in at least one programming language (e.g. Python Rust Go Java) and productive with Python

• Have significant experience building and operating secure and scalable software infrastructure - cloud systems distributed systems or developer tooling

• Have strong cross-functional communication skills - equally at home working with researchers and with platform and security teams

• Are extremely curious about unfamiliar domains

• Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions

• Are curious about interpretability research and its role in AI safety (though no research experience is required!)

• Care about the societal impacts and ethics of your work

• Experience with cloud infrastructure (e.g. GCP or AWS) Kubernetes networking and infrastructure-as-code

• Security engineering experience: identity / auth / access management sandboxing red teaming

• Experience with data warehousing large-scale storage systems and data lifecycle management - especially for research

• Experience with compute schedulers and accelerator fleet management

• Experience building developer productivity tooling and observability stacks

• Experience building tooling to accelerate research teams

• Design and stand up a hardened research environment where researchers experiment directly on frontier model weights

• Build lifecycle management for petabytes of research data - visibility retention and cost efficiency

• Build self-serve scheduling and capacity tooling

• Create the observability that catch infrastructure regressions before they cost researchers valuable time

• This role is based in the San Francisco office; however we are open to considering exceptional candidates for remote work on a case-by-case basis.

Minimum education: Bachelors degree or an equivalent combination of education training and/or experience

Required field of study:A field relevant to the role as demonstrated through coursework training or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

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. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

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 in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policy for using AI in our application process.