Software Engineer, AI Reliability

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

AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network API layers serving infrastructure and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient be it during an incident or collaborating on projects.

Reliability here is an emergent phenomenon that transcends any single teams boundaries so someone has to zoom out and look at the whole picture. Thats us -- and it means few teams at Anthropic offer this kind of dynamic cross-cutting exposure to the systems that matter most.

Claude has your back. AIRE has Claudes. Help us keep Claude reliable for everyone who depends on it.

Responsibilities:

• Develop appropriate Service Level Objectives for large language model serving systems balancing availability and latency with development velocity.

• Design and implement monitoring and observability systems across the token path.

• Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers

• Lead incident response for critical AI services ensuring rapid recovery thorough incident reviews and systematic improvements.

• Support the reliability of safeguard model serving -- critical for both site reliability and Anthropics safety commitments.

You may be a good fit if you:

• Have strong distributed systems infrastructure or reliability backgrounds -- were looking for reliability-minded software engineers and SREs.

• Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you dont have deep expertise yet.

• Think holistically about how systems compose and where the seams are.

• Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates not outsiders with opinions.

• Care about users and feel ownership over outcomes even for systems you dont own.

• Have excellent communication and collaboration skills -- youll be partnering across the entire company.

• Bring diverse experience -- the teams strength comes from people whove built product stacks scaled databases run massive distributed systems and everything in between.

Strong candidates may also:

• Have been an SRE Production Engineer or in similar reliability-focused roles on large scale systems

• Have experience operating large-scale model serving or training infrastructure (>1000 GPUs).

• Have experience with one or more ML hardware accelerators (GPUs TPUs Trainium).

• Understand ML-specific networking optimizations like RDMA and InfiniBand.

• Have expertise in AI-specific observability tools and frameworks.

• Have experience with chaos engineering and systematic resilience testing.

• Have contributed to open-source infrastructure or ML tooling.

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