Staff + Sr. Software Engineer, Cloud Inference Launch Engineering AnthropicStaff + Sr. Software Engineer, Cloud Inference Launch EngineeringSan Francisco, CAIdentify and dive deep on the gaps that make inference behave differently across first-party and CSPs - config drift, observability, deployment patterns, hard cross-platform bugs - and fix them at the source rather than building platform-specific workarounds. 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.
Integration Engineer Harvey, Inc.Integration EngineerSan Francisco, CA$133,500–$200,300 / yearThe ideal candidate has enough technical depth to debug integration failures and write scripts, enough systems judgment to avoid creating long-term tech debt, and enough stakeholder empathy to help teams make tradeoffs when speed, accuracy, and scalability compete. You will design, implement, test, and monitor workflows across systems such as Salesforce, CPQ, NetSuite, Workday, Marketo, Snowflake, and iPaaS platforms, with a focus on data quality, operational reliability, and business impact.
Staff+ Software Engineer, Safeguards ML Infrastructure AnthropicStaff+ Software Engineer, Safeguards ML InfrastructureSan Francisco, CAThis 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. 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 you're interested in this work.
Cloud And Storage Engineer CONTACT GOVERNMENT SERVICESCloud And Storage EngineerSan Francisco, CA$100,949.33–$137,002.66 / yearSkills and attributes for success: Develops and implements full scale Storage Area Network (SAN) architecture for a large EMC-based SAN infrastructure in a multi-enterprise, complex, geographically dispersed solution; ranging from single servers to multi-tier, multi-platform solutions connected through fiber channel to multiple EMC Storage Arrays with petabytes of storage capacity. CGS is seeking a Cloud and Storage Engineer to develop and implement full-scale Storage Area Network (SAN) architecture for a large EMC-based SAN infrastructure in support of a large federal agency.
Okta IAM Integration Engineer EverOpsOkta IAM Integration EngineerSan Francisco, CaliforniaRemoteYou must possess the unique ability to patiently guide them through their side of the implementation—such as creating access groups and understanding role mappings—without assuming they know the technical terminology. Deploy Okta application configurations (including SAML/OIDC apps, group patterns, and SCIM) via Terraform within a shared Infrastructure as Code (IaC) repository.
Staff Software Engineer, Model Infrastructure Harvey, Inc.Staff Software Engineer, Model InfrastructureSan Francisco, CA$236,000–$290,000 / yearIntegrate new model providers and maintain provider APIs and SDKs, enabling Harvey to rapidly adopt emerging frontier models. You'll partner closely with AI Research, Product Engineering, Infrastructure, and external model providers to build a platform that is highly reliable, scalable, observable, and efficient.
Senior Security Engineer - Data Security Sigma ComputingSenior Security Engineer - Data SecuritySan Francisco, CA$175,000–$220,000 / yearThe round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. Experience designing and implementing platforms like Insider threat and data protection technologies (SIEM, UBA, DSPM, SSPM,DLP, Browser Protection, Endpoint detection).
Staff+ Software Engineer, Safeguards AnthropicStaff+ Software Engineer, SafeguardsSan Francisco, CAOur Claude Investigation tool, an autonomous Claude-powered agent that reasons across tens of billions of stored interactions to surface cyberattacks, weapons development, and state-sponsored influence operations; thousands of copies run in parallel, which is how a small team covers the whole surface. Our flagship project extends Claude Tag, Anthropic's agentic AI collaborator, so it can safely operate on the sensitive data at the heart of Safeguards work: investigating abuse, calibrating detection systems, and closing the loop from signal to enforcement.
Data Engineer, Safeguards AnthropicData Engineer, SafeguardsSan Francisco, CAYou'll work closely with engineers, data scientists, and policy teams to ensure the Safeguards organization has the data it needs to detect abuse patterns, measure the effectiveness of safety interventions, and make informed decisions about model behavior and enforcement. 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.
Staff Software Engineer, Labs: Applied AI AnthropicStaff Software Engineer, Labs: Applied AISan Francisco, CAIn this role, you'll take frontier AI capabilities and turn them into applications that professionals in less software-native roles can pick up and trust - rapidly building and testing new experiences, partnering directly with researchers, domain experts, and users, and generating the insights that shape where this exploration goes next. 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.
Staff Software Engineer, Officejs Harvey, Inc.Staff Software Engineer, OfficejsSan Francisco, CA$231,000–$340,000 / yearAs a Staff Software Engineer on the Embedded Experiences team, you will own and lead the development of Harvey in Word, our Microsoft Office Add-in built on OfficeJS, alongside our other Microsoft Office integrations. Harvey in Word brings AI-powered capabilities directly into Word, enabling lawyers to draft faster, run playbook reviews, and perform agentic editing, all without leaving their workflow.
Software Engineer, Platform Scale AI, Inc.Software Engineer, PlatformSan Francisco, CA$180,000–$225,000 / yearThe range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment.
Senior Software Security Engineer AnthropicSenior Software Security EngineerSan Francisco, CAThis 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. Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies.
Infrastructure Security Engineer SkipInfrastructure Security EngineerSan Francisco, CAwith Arc'teryx) we are uniquely positioned to launch the first commercially successful wearable robotic device, the MO/GO, develop a platform to launch future Movewear products and transform millions of lives in the coming years. Some of the specific responsibilities include, but are not limited to: Design and operate Skip's PKI infrastructure -- device certificate provisioning, certificate authority management, key lifecycle management, and revocation -- across our device fleet and cloud services.
Software Engineer, ARC Team Scale AI, Inc.Software Engineer, ARC TeamSan Francisco, CA$184,000–$259,440 / yearThe range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
Staff+ Software Engineer, Financial Fraud AnthropicStaff+ Software Engineer, Financial FraudSan Francisco, CAThe Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse - keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. Payments fraud is more externally coupled than most trust and safety work - you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally.
Performance Engineer, Inference Systems AnthropicPerformance Engineer, Inference SystemsSan Francisco, CAWe measure how the fleet performs against its theoretical performance frontier, run cross-layer investigations to explain the gaps, and own the correctness checks that make sure Claude's outputs are right, not just fast, across hardware platforms and serving configurations. Redesign the correctness eval gate: determine which signals reliably catch real model-output regressions versus noise, and make it the trusted release criterion across hardware backends.
Staff Software Engineer, Core Infrastructure Harvey, Inc.Staff Software Engineer, Core InfrastructureSan Francisco, CA$236,000–$290,000 / yearAs a Staff Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. You'll work in an environment balanced between innovation - building new systems - and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage.
Research Engineer, Interpretability AnthropicResearch Engineer, InterpretabilitySan Francisco, CAEven if you haven't worked on interpretability before, the infrastructure expertise is similar to what's needed across the lifecycle of a production language model: Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips. 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.
Staff Software Engineer, Public Sector Scale AI, Inc.Staff Software Engineer, Public SectorSan Francisco, CA$252,000–$362,000 / yearAs a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities to include mentoring other engineers on defining requirements with stakeholders and communication tradeoffs of technical implementations on feature and capabilities until they are accepted by the stakeholders. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.