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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Drives adoption of safe frontier AI by securing strategic deals with mid-market tech companies, running full sales cycles, expanding accounts, and collaborating cross-functionally. Requires 4+ years enterprise sales experience with emerging tech and technical fluency.

Builds large-scale infrastructure for AI scientist training, evaluation, and deployment, resolving bottlenecks in distributed systems for scientific AGI. Requires 6+ years in infrastructure engineering with expertise in ML stacks, containers, and data pipelines.

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.

Engineering Manager leading teams to optimize ML inference and training systems, remove bottlenecks, and scale compute resources efficiently. Requires 1+ years management experience in performance/distributed systems and ML/AI background.

Research Engineer on Cybersecurity RL team advances AI models in secure coding, vulnerability remediation, and defensive cybersecurity using RL techniques. Requires cybersecurity expertise, ML experience, and strong engineering skills.

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.

Partners with engineers to embed security in AI product development through threat modeling, secure reviews, tooling, and vulnerability management. Requires 5+ years experience, programming proficiency, and offensive security mindset.

Drives AI adoption through strategic deals with mid-market companies in key verticals, owning full sales cycles, pioneering AI-agent sales playbooks, and collaborating cross-functionally. Requires 3+ years B2B tech sales experience and passion for safe AI.

Owns operational reliability of AI safety infrastructure, driving incident response, SLOs, post-mortems, and platform migrations for safeguards engineering. Requires technical depth in ML systems and cross-team coordination.

Software Engineer on Claude Code team builds evaluation systems, tooling, and infrastructure to enhance AI coding capabilities. Collaborates with researchers in fast-paced environment; requires 5+ years experience building complex systems.

Builds next-generation training environments and evaluations for agentic AI models, blending research in reinforcement learning with robust engineering implementation. Requires strong technical judgment, agency, and experience in ML systems.

Architects and optimizes GPU systems for large-scale AI models, focusing on kernel development, distributed training, and performance breakthroughs to enhance inference efficiency and model capabilities.

Build safety mechanisms for AI systems including monitoring for unwanted behaviors, abuse detection, and enforcement tools. Requires 5+ years software engineering experience, Python/TypeScript proficiency, and preferably trust/safety expertise.

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.

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.

Research Engineer focused on mechanistic interpretability, building tools and infrastructure to reverse-engineer neural networks for safer AI. Requires 5+ years software experience, Python proficiency, and AI research contributions.

Drives revenue growth and retention for high-growth startup customers by expanding their use of Anthropic's safe AI solutions. Requires 3+ years in sales/account management, consultative expertise, and strong relationship-building skills.

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.

Performance Engineer optimizes throughput and robustness of large-scale ML distributed systems by solving novel performance issues. Requires significant software engineering experience at supercomputing scale and interest in ML.

Research Engineer works end-to-end to remove bottlenecks toward scientific AGI, focusing on long-horizon reasoning, computer use, and model capabilities. Requires 8+ years ML experience, expertise in language model pipelines, distributed systems, and collaborative problem-solving.

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.

Builds and scales security analytics infrastructure, including data pipelines for telemetry processing and ML-powered detection systems using Claude. Requires 7+ years in software engineering focused on security, infrastructure, and data pipelines.

Build AI-powered cybersecurity products by prototyping ideas, collaborating with research teams on model capabilities, and engaging customers to shape product direction. Requires 7+ years software engineering experience, cybersecurity background, and strong product instincts.

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.

Builds AI skill development features as founding engineer in Education Labs, shipping end-to-end prototypes and defining technical direction. Requires 6+ years full-stack experience with React, TypeScript, Python, and strong design sensibility.

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 experimental ML research on AI alignment and safety for powerful systems, focusing on scalable oversight, control, and stress-testing. Requires strong software/ML engineering, empirical research experience, and Python proficiency.

Drive revenue accounting operations, AR management, and financial reporting with ASC 606/326 expertise. Own month-end closes, audit coordination, and cross-functional collaboration in a fast-paced SaaS environment.

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.

Leads Workday Financials implementation, designs Financial Data Model and Chart of Accounts for reporting, develops Prism Analytics solutions, and collaborates cross-functionally for ERP adoption. Requires 8+ years experience with 5+ years in Workday Financials.