Infrastructure Engineer, Sandboxing at Anthropic

About AnthropicAnthropics 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 roleAnthropic is seeking an experienced Infrastructure Engineer to join our Sandboxing team within the Research this role youll build and scale the systems that enable researchers to safely execute and experiment with AI-generated code and interactions in isolated environments.As our models become more capable the infrastructure supporting secure execution environments becomes increasingly critical. Youll work on distributed systems that must operate reliably at significant scale while maintaining strong security boundaries. Your work will directly support Anthropics mission to develop AI systems that are safe beneficial and trustworthy.ResponsibilitiesDesign build and operate distributed backend systems that power secure sandboxed execution environmentsScale infrastructure to meet growing research and product demands while maintaining reliability and performanceImplement and maintain serverless architectures and container orchestration systemsCollaborate with research teams to understand requirements and translate them into robust infrastructure solutionsDevelop monitoring alerting and observability systems to ensure operational excellenceParticipate in on-call rotations and incident response to maintain system reliabilityContribute to infrastructure automation and tooling that improves developer productivityPartner with security teams to ensure sandboxing infrastructure maintains appropriate isolation guaranteesYou may be a good fit if youHave 5 years of experience building and operating backend infrastructure at scaleHave deep expertise in distributed systems design and implementationHave strong operational experience including debugging complex production issuesAre proficient with cloud platforms particularly GCP/GCS (experience with AWS or Azure is also valuable)Have experience with containerization technologies (Docker Kubernetes) and understand their security implicationsAre comfortable working with infrastructure as code and modern DevOps practicesHave strong programming skills in languages such as Python Go or RustAre results-oriented with a bias towards flexibility and impactCare about the societal impacts of your work and are motivated by Anthropics missionStrong candidates may also have experience withServerless architectures and functions-as-a-service platforms (Cloud Functions Cloud Run Lambda)Designing and implementing secure multi-tenant systemsHigh-performance computing environments or ML infrastructureLinux systems internals including namespaces cgroups and seccompNetwork security and isolation techniquesBuilding systems that support research workflows and rapid iterationThe expectedbase compensation for this position is below. Our total compensation package for full-time employees includes equity benefits and may include incentive compensation.Annual Salary:$300000 - $405000 USDLogisticsEducation 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.How were differentWe 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 Key Skills Jenkins,Ruby,Python,Active Directory,Cloud,PowerShell,Windows,AWS,Linux,SAN,Java,Troubleshoot,Backup,Puppet,hardware Employment Type : Full Time Experience: years Vacancy: 1 Monthly Salary Salary: 300000 - 405000