Research Compute Operations

About Anthropic

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.

About the Role

Anthropics researchers use internal tooling and infrastructure to run the experiments that advance AI safety and capability. This role owns the researcher experience with that tooling both the day-to-day support and the longer-term product vision. Youll be the person researchers come to when they need help and the person driving improvements and automation to make that manual help unnecessary over time.

This role sits on the Capacity Operations team at the intersection of research and infrastructure.

Responsibilities

• Serve as a primary point of contact for researchers using internal compute infrastructure including triaging access issues resolving researcher requests and real-time monitoring

• Proactively monitor usage patterns and work with researchers to optimize their workloads

• Help design the product roadmap for research inference tooling. You will gather user feedback prioritize improvements and drive execution

• Prototype better tools: dashboards automations self-service workflows and more intuitive interfaces for complex systems

• Build automations (using Claude) for common operational workflows

You may be a good fit if you

• Have an engineering background (or equivalent technical depth) and have transitioned into or are drawn to product management technical operations or systems design work

• Can query data understand infrastructure debug issues and build tools and scripts to prototype solutions quickly

• Are a systems-thinker: when a researcher hits a confusing error you dont just fix it you ask why the system produced it and how to prevent it for everyone

• Are comfortable navigating ambiguity across teams and context-switching between tactical support and strategic design

• Use Claude or other AI tools daily and are excited to teach others your best practices

Strong candidates may also have

• An understanding of compute infrastructure and familiarity with concepts like rate limiting autoscaling and request prioritization

• Background in ML infrastructure ML engineering or research engineering

• Experience with large-scale accelerator clusters (TPUs GPUs or similar)

• Familiarity with ML training pipelines and how they consume inference capacity

• Track record of building internal tools or developer platforms that people actually love using

• Experience in developer experience (DevEx) or platform engineering

Logistics

Education requirements: We require at least a Bachelors 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! 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.

How were 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. 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.

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