Develops and validates online metrics from user interactions to measure answer quality in LLM-based search products. Builds scalable data pipelines, analyzes A/B experiments, and collaborates with Product and Search teams. Requires 4+ years experience, MS, Python/SQL proficiency.
Finance expert fellow collaborates on high-impact AI projects, developing financial scenarios to test and improve generative AI in valuation, forecasting, risk assessment, and equity research. Requires 5+ years experience, advanced degree in Finance/Economics, and strong financial modeling skills.
Legal Fellow collaborates on AI projects by designing scenarios, evaluating model outputs for legal accuracy in areas like compliance and litigation, and contributing to research publications. Requires JD/LLM or law student status with expertise in legal research and analysis.
Collaborate on high-impact AI research projects, design and review deep learning models in PyTorch, analyze GPU performance, and co-author publications. Requires PhD in CS/AI/ML and hands-on expertise with Transformers, CNNs, and diffusion models.
Forward Deployed Software Engineer builds and delivers custom engineering solutions for enterprise customers, resolves technical issues, and drives product adoption through API integrations and cross-functional collaboration. Requires 1+ years software engineering experience, Python/JavaScript proficiency, and strong customer-facing skills.
Develops exceptional user interfaces for web applications using modern frontend technologies like React and Next.js, handles API integrations, and collaborates on UX design. Requires 5+ years UI engineering experience and bachelor's degree or equivalent.
Leads development of Agentic AI platforms for US government national security, owning full product lifecycle, stakeholder engagement, and ethical deployment in regulated environments. Requires 4+ years ML product experience, technical degree, and Top Secret clearance.
Develops and optimizes post-training algorithms for agent RL platforms, focusing on LLM training, inference frameworks, and multi-agent systems. Requires 1-3 years production LLM experience, expertise in PyTorch/CUDA, RLHF/PPO, and advanced degree.
Develops next-gen Agent RL training platform for enterprise GenAI, integrating cutting-edge research to train state-of-the-art models for complex use cases. Requires 5+ years LLM production experience, RLHF expertise, recent top publications, and advanced CS degree.
Senior Full-Stack Engineer builds and scales Generative AI platform features end-to-end, from React/TypeScript UIs to Python backends integrating LLMs and ML systems. Requires 5+ years experience, full-stack proficiency, and AI tooling familiarity.
Build and scale enterprise Generative AI platform, owning large product areas across backend, frontend, LLMs, and ML models. Requires 4+ years experience, proficiency in Python/JavaScript/SQL, Kubernetes, and cloud providers.
Leads a 50+ engineer team to design and deploy agentic AI products, providing technical direction on LLMs, AI agents, and distributed systems while engaging executives and stakeholders.
University students contribute to generative AI projects like model training and failure mode identification, participate in focus groups, and collaborate on team challenges. Requires STEM enrollment, coding proficiency, and competitive programming experience; fully remote with flexible hours.
Develops synthetic data pipelines, production trace agents, and automated agent-building frameworks for enterprise GenAI. Requires 3+ years LLM production experience, top conference publications, and advanced CS degree.
Solutions Engineer partners with sales to deliver customized GenAI demos and pilots for enterprise customers, secures technical wins, scopes projects, and supports initial implementations. Requires strong engineering background in Python/Java and client-facing experience in SaaS/fintech.
Conducts cutting-edge research on data for state-of-the-art AI agents like browser and SWE agents, develops prototypes using LLMs and frameworks like PyTorch/JAX, and publishes in top ML venues. Requires 3+ years ML experience and strong cross-functional communication.
Builds and optimizes distributed frameworks for LLM training and inference on Scale's RLXF platform. Collaborates with ML teams to accelerate research, requiring expertise in PyTorch, CUDA, transformers, and large-scale distributed systems.
Technical Program Manager drives AI/ML solutions for Public Sector customers, triaging issues, aligning resources, and leading cross-functional teams to deliver value in computer vision and generative AI. Requires 3+ years stakeholder experience, technical background, and TS/SCI clearance.
Build secure, scalable full-stack internal tools and applications (60% backend, 40% frontend) to boost G&A team productivity. Requires 5+ years experience, proficiency in React/Angular, Go/Python, cloud tech, and security compliance.
Staff engineer owns large product areas in enterprise GenAI platform, working across backend, frontend, LLMs, and ML models. Solves scalability challenges with 7+ years experience in Python/JS, Kubernetes, and cloud providers.
Leads development and optimization of distributed frameworks for LLM post-training, training, and inference. Collaborates with ML teams to enable advanced model development and data curation, requiring expertise in large-scale ML systems and tools like PyTorch and CUDA.
Build and scale full-stack systems for Scale AI's Generative AI Data Engine, owning contributor platform features that power high-impact datasets for LLMs. Requires 5+ years experience with React, TypeScript, Node.js, and strong product sense in a hybrid SF/NY environment.
Builds and scales multi-cloud infrastructure for enterprise AI Agentic workflows, focusing on security, compliance, observability, and developer tools. Requires 5+ years experience with modern infra practices, cloud providers, and languages like Python.
Drives revenue growth by selling complex AI solutions to Fortune 500 enterprises, managing full-cycle sales including prospecting, closing, renewals, and expansions. Requires 8+ years enterprise sales experience with technical solutions and proven quota attainment.
Designs and builds scalable platforms for serving LLMs, focusing on fault-tolerant systems, model integration, and observability. Requires 4+ years in backend systems, strong programming skills, and LLM serving expertise.
Designs, builds, and deploys production-ready AI agents using LLMs, tool use, and reasoning for enterprise problems. Requires 5+ years ML experience, Python proficiency, and Bachelor's in CS/ML/AI.
Build frontend-focused full-stack applications for enterprise AI platforms, creating user-facing AI tools and integrating with backend services. Requires 5+ years experience with Next.js, React, TypeScript, and Tailwind in fast-paced environments.
Develops and deploys state-of-the-art ML models and agents for enterprise GenAI using RL training and post-training algorithms. Requires 1-3 years LLM production experience, RLHF expertise, recent top publications, and advanced CS degree.
Advise on product development and IP strategy for AI technologies, managing patents, trademarks, risks, and cross-functional partnerships. Requires 5+ years IP law experience, JD, and technical fluency in ML/AI.
Build secure, scalable backend systems for AI infrastructure serving government customers. Requires active security clearance (TS/SCI capable), full-stack expertise, cloud-native tech like Kubernetes/Docker, and hybrid office presence in DC or St. Louis.
Leads architecture and development of large-scale data platforms for AI, including storage, streaming, caching, and indexing. Requires 8+ years experience with databases, streaming tools, Kubernetes, and distributed systems.
Leads engineering team building AgentOps platform for agent lifecycle management, deployment, monitoring, and improvement using RL workflows. Requires 5+ years experience, 2+ years managing engineers, and expertise in high-scale product delivery.
Lead a team as technical bridge for enterprise customers, architecting and deploying custom AI agents, integrations, and prompt engineering solutions into production environments. Requires 5+ years software engineering with 2+ years management, Python expertise, and cloud experience.
Builds scalable data collection pipelines and interfaces for AI model improvement, collaborating with researchers and data operations. Requires strong full-stack engineering, internal tooling expertise, and adaptability in fast-paced research environment.
Leads cross-functional initiatives for inference runtime and accelerator performance, coordinating model launches, managing dependencies, and ensuring reliability across hardware platforms. Requires technical depth in inference systems and strong program management experience.
Pre-Sales Solutions Architect advising enterprises on integrating Claude AI into their tech stacks. Guides from discovery to deployment, requiring 5+ years technical customer-facing experience, Python proficiency, and cloud architecture skills.
Drive AI adoption and revenue growth within DOD/IC agencies, owning full sales cycles while navigating complex procurement, compliance, and security requirements. Requires 7+ years enterprise sales experience in DOD/IC with active security clearance.
Designs and optimizes TPU kernels to address performance issues in ML research, training, and inference systems. Provides feedback on model impacts and solves large-scale systems problems, requiring deep accelerator expertise.
Coordinates complex infrastructure programs across developer productivity, reliability, and cross-functional teams at Anthropic, driving scaling, security, and AI research support. Requires 5+ years TPM experience in ML/AI or distributed systems with deep technical knowledge.
Research Engineer optimizes and scales production pretraining of frontier AI models, handling performance, debugging, experiments, and on-call incidents. Requires expertise in JAX, TPU, PyTorch, or large-scale ML systems with a 50/50 research-engineering balance.
Respond to user support cases, debug complex API issues, and provide high-touch support for AI products. Partner with engineers to resolve issues at scale and drive support process improvements.
Conducts mechanistic interpretability research to reverse-engineer language models, developing methods to understand neural network algorithms for AI safety. Requires scientific research background, Python proficiency, and collaborative engineering mindset.
Build ML systems to detect and mitigate AI misuse, including classifiers for anomalous behavior, multi-exchange harm monitoring, and agentic safety evaluations. Requires 4+ years ML experience, Python proficiency, and research-to-deployment skills.
Builds threat detection infrastructure, data pipelines, and tooling for threat intelligence team. Requires strong Python/SQL skills, experience with orchestration tools, YARA rules, and external API integrations.
Software Engineer focused on AI reliability engineering, improving robustness of Claude's serving infrastructure across SDK to accelerators. Partners cross-team on SLOs, monitoring, high-availability systems, incident response, and safeguard models.
Build cutting-edge iOS apps leveraging advanced AI models for the Claude mobile team. Requires 7+ years iOS experience with Swift, SwiftUI, UIKit, and full-stack skills in a fast-paced environment.
Drive adoption of Anthropic's Claude Developer Platform among startups by leading developer onboarding, creating technical content, and running events. Requires 7+ years in startups and developer-facing roles, coding ability, and AI enthusiasm.
Investigates and disrupts misuse of AI systems for cyber threats like malware and influence operations. Develops detection techniques and intelligence reports, requiring proficiency in SQL, Python, and threat intelligence frameworks.
Develops next-generation large language models through research, experimentation, and engineering on pre-training team. Requires strong Python/PyTorch skills, ML expertise, and MS/PhD in related field.
Research Engineer builds and optimizes reinforcement learning infrastructure for advancing AI capabilities like agentic models, tool use, and reasoning. Requires Python proficiency, ML frameworks experience, and ability to blend research with scalable engineering.
Develops and validates online metrics from user interactions to measure answer quality in LLM-based search products. Builds scalable data pipelines, analyzes A/B experiments, and collaborates with Product and Search teams. Requires 4+ years experience, MS, Python/SQL proficiency.
Finance expert fellow collaborates on high-impact AI projects, developing financial scenarios to test and improve generative AI in valuation, forecasting, risk assessment, and equity research. Requires 5+ years experience, advanced degree in Finance/Economics, and strong financial modeling skills.
Legal Fellow collaborates on AI projects by designing scenarios, evaluating model outputs for legal accuracy in areas like compliance and litigation, and contributing to research publications. Requires JD/LLM or law student status with expertise in legal research and analysis.
Collaborate on high-impact AI research projects, design and review deep learning models in PyTorch, analyze GPU performance, and co-author publications. Requires PhD in CS/AI/ML and hands-on expertise with Transformers, CNNs, and diffusion models.
Forward Deployed Software Engineer builds and delivers custom engineering solutions for enterprise customers, resolves technical issues, and drives product adoption through API integrations and cross-functional collaboration. Requires 1+ years software engineering experience, Python/JavaScript proficiency, and strong customer-facing skills.
Develops exceptional user interfaces for web applications using modern frontend technologies like React and Next.js, handles API integrations, and collaborates on UX design. Requires 5+ years UI engineering experience and bachelor's degree or equivalent.
Leads development of Agentic AI platforms for US government national security, owning full product lifecycle, stakeholder engagement, and ethical deployment in regulated environments. Requires 4+ years ML product experience, technical degree, and Top Secret clearance.
Develops and optimizes post-training algorithms for agent RL platforms, focusing on LLM training, inference frameworks, and multi-agent systems. Requires 1-3 years production LLM experience, expertise in PyTorch/CUDA, RLHF/PPO, and advanced degree.
Develops next-gen Agent RL training platform for enterprise GenAI, integrating cutting-edge research to train state-of-the-art models for complex use cases. Requires 5+ years LLM production experience, RLHF expertise, recent top publications, and advanced CS degree.
Senior Full-Stack Engineer builds and scales Generative AI platform features end-to-end, from React/TypeScript UIs to Python backends integrating LLMs and ML systems. Requires 5+ years experience, full-stack proficiency, and AI tooling familiarity.
Build and scale enterprise Generative AI platform, owning large product areas across backend, frontend, LLMs, and ML models. Requires 4+ years experience, proficiency in Python/JavaScript/SQL, Kubernetes, and cloud providers.
Leads a 50+ engineer team to design and deploy agentic AI products, providing technical direction on LLMs, AI agents, and distributed systems while engaging executives and stakeholders.
University students contribute to generative AI projects like model training and failure mode identification, participate in focus groups, and collaborate on team challenges. Requires STEM enrollment, coding proficiency, and competitive programming experience; fully remote with flexible hours.
Develops synthetic data pipelines, production trace agents, and automated agent-building frameworks for enterprise GenAI. Requires 3+ years LLM production experience, top conference publications, and advanced CS degree.
Solutions Engineer partners with sales to deliver customized GenAI demos and pilots for enterprise customers, secures technical wins, scopes projects, and supports initial implementations. Requires strong engineering background in Python/Java and client-facing experience in SaaS/fintech.
Conducts cutting-edge research on data for state-of-the-art AI agents like browser and SWE agents, develops prototypes using LLMs and frameworks like PyTorch/JAX, and publishes in top ML venues. Requires 3+ years ML experience and strong cross-functional communication.
Builds and optimizes distributed frameworks for LLM training and inference on Scale's RLXF platform. Collaborates with ML teams to accelerate research, requiring expertise in PyTorch, CUDA, transformers, and large-scale distributed systems.
Technical Program Manager drives AI/ML solutions for Public Sector customers, triaging issues, aligning resources, and leading cross-functional teams to deliver value in computer vision and generative AI. Requires 3+ years stakeholder experience, technical background, and TS/SCI clearance.
Build secure, scalable full-stack internal tools and applications (60% backend, 40% frontend) to boost G&A team productivity. Requires 5+ years experience, proficiency in React/Angular, Go/Python, cloud tech, and security compliance.
Staff engineer owns large product areas in enterprise GenAI platform, working across backend, frontend, LLMs, and ML models. Solves scalability challenges with 7+ years experience in Python/JS, Kubernetes, and cloud providers.
Leads development and optimization of distributed frameworks for LLM post-training, training, and inference. Collaborates with ML teams to enable advanced model development and data curation, requiring expertise in large-scale ML systems and tools like PyTorch and CUDA.
Build and scale full-stack systems for Scale AI's Generative AI Data Engine, owning contributor platform features that power high-impact datasets for LLMs. Requires 5+ years experience with React, TypeScript, Node.js, and strong product sense in a hybrid SF/NY environment.
Builds and scales multi-cloud infrastructure for enterprise AI Agentic workflows, focusing on security, compliance, observability, and developer tools. Requires 5+ years experience with modern infra practices, cloud providers, and languages like Python.
Drives revenue growth by selling complex AI solutions to Fortune 500 enterprises, managing full-cycle sales including prospecting, closing, renewals, and expansions. Requires 8+ years enterprise sales experience with technical solutions and proven quota attainment.
Designs and builds scalable platforms for serving LLMs, focusing on fault-tolerant systems, model integration, and observability. Requires 4+ years in backend systems, strong programming skills, and LLM serving expertise.
Designs, builds, and deploys production-ready AI agents using LLMs, tool use, and reasoning for enterprise problems. Requires 5+ years ML experience, Python proficiency, and Bachelor's in CS/ML/AI.
Build frontend-focused full-stack applications for enterprise AI platforms, creating user-facing AI tools and integrating with backend services. Requires 5+ years experience with Next.js, React, TypeScript, and Tailwind in fast-paced environments.
Develops and deploys state-of-the-art ML models and agents for enterprise GenAI using RL training and post-training algorithms. Requires 1-3 years LLM production experience, RLHF expertise, recent top publications, and advanced CS degree.
Advise on product development and IP strategy for AI technologies, managing patents, trademarks, risks, and cross-functional partnerships. Requires 5+ years IP law experience, JD, and technical fluency in ML/AI.
Build secure, scalable backend systems for AI infrastructure serving government customers. Requires active security clearance (TS/SCI capable), full-stack expertise, cloud-native tech like Kubernetes/Docker, and hybrid office presence in DC or St. Louis.
Leads architecture and development of large-scale data platforms for AI, including storage, streaming, caching, and indexing. Requires 8+ years experience with databases, streaming tools, Kubernetes, and distributed systems.
Leads engineering team building AgentOps platform for agent lifecycle management, deployment, monitoring, and improvement using RL workflows. Requires 5+ years experience, 2+ years managing engineers, and expertise in high-scale product delivery.
Lead a team as technical bridge for enterprise customers, architecting and deploying custom AI agents, integrations, and prompt engineering solutions into production environments. Requires 5+ years software engineering with 2+ years management, Python expertise, and cloud experience.
Builds scalable data collection pipelines and interfaces for AI model improvement, collaborating with researchers and data operations. Requires strong full-stack engineering, internal tooling expertise, and adaptability in fast-paced research environment.
Leads cross-functional initiatives for inference runtime and accelerator performance, coordinating model launches, managing dependencies, and ensuring reliability across hardware platforms. Requires technical depth in inference systems and strong program management experience.
Pre-Sales Solutions Architect advising enterprises on integrating Claude AI into their tech stacks. Guides from discovery to deployment, requiring 5+ years technical customer-facing experience, Python proficiency, and cloud architecture skills.
Drive AI adoption and revenue growth within DOD/IC agencies, owning full sales cycles while navigating complex procurement, compliance, and security requirements. Requires 7+ years enterprise sales experience in DOD/IC with active security clearance.
Designs and optimizes TPU kernels to address performance issues in ML research, training, and inference systems. Provides feedback on model impacts and solves large-scale systems problems, requiring deep accelerator expertise.
Coordinates complex infrastructure programs across developer productivity, reliability, and cross-functional teams at Anthropic, driving scaling, security, and AI research support. Requires 5+ years TPM experience in ML/AI or distributed systems with deep technical knowledge.
Research Engineer optimizes and scales production pretraining of frontier AI models, handling performance, debugging, experiments, and on-call incidents. Requires expertise in JAX, TPU, PyTorch, or large-scale ML systems with a 50/50 research-engineering balance.
Respond to user support cases, debug complex API issues, and provide high-touch support for AI products. Partner with engineers to resolve issues at scale and drive support process improvements.
Conducts mechanistic interpretability research to reverse-engineer language models, developing methods to understand neural network algorithms for AI safety. Requires scientific research background, Python proficiency, and collaborative engineering mindset.
Build ML systems to detect and mitigate AI misuse, including classifiers for anomalous behavior, multi-exchange harm monitoring, and agentic safety evaluations. Requires 4+ years ML experience, Python proficiency, and research-to-deployment skills.
Builds threat detection infrastructure, data pipelines, and tooling for threat intelligence team. Requires strong Python/SQL skills, experience with orchestration tools, YARA rules, and external API integrations.
Software Engineer focused on AI reliability engineering, improving robustness of Claude's serving infrastructure across SDK to accelerators. Partners cross-team on SLOs, monitoring, high-availability systems, incident response, and safeguard models.
Build cutting-edge iOS apps leveraging advanced AI models for the Claude mobile team. Requires 7+ years iOS experience with Swift, SwiftUI, UIKit, and full-stack skills in a fast-paced environment.
Drive adoption of Anthropic's Claude Developer Platform among startups by leading developer onboarding, creating technical content, and running events. Requires 7+ years in startups and developer-facing roles, coding ability, and AI enthusiasm.
Investigates and disrupts misuse of AI systems for cyber threats like malware and influence operations. Develops detection techniques and intelligence reports, requiring proficiency in SQL, Python, and threat intelligence frameworks.
Develops next-generation large language models through research, experimentation, and engineering on pre-training team. Requires strong Python/PyTorch skills, ML expertise, and MS/PhD in related field.
Research Engineer builds and optimizes reinforcement learning infrastructure for advancing AI capabilities like agentic models, tool use, and reasoning. Requires Python proficiency, ML frameworks experience, and ability to blend research with scalable engineering.