Python Jobs

Anthropic

Anthropic is seeking a Technical CBRN-E Threat Investigator to join its Threat Intelligence team. This role focuses on detecting, investigating, and disrupting the misuse of Anthropic's AI systems for Chemical, Biological, Radiological, Nuclear, and Explosives (CBRN-E) threats. The position requires deep expertise in areas like chemical or biodefense, operating at the intersection of AI safety and CBRN security. You will conduct investigations into potential misuse, develop new detection techniques, and build defenses against threat actors seeking to leverage AI for harmful purposes. This role may involve exposure to sensitive content and require responding to escalations during weekends and holidays.

Anthropic

We are hiring Support Engineers to serve as the named, dedicated Product Support point of contact for Anthropic's most strategic enterprise customers. As a Support Engineer, you'll be providing high-touch, deeply contextual support to a defined book of accounts — embedded in your customers' shared channels, known by name to their stakeholders, and partnering closely with Sales, Customer Success, and Applied AI as the technical support voice on the account team. You'll bring deep knowledge of how each of your customers is built on Claude to every interaction, so you can investigate, diagnose, and resolve their most complex technical needs with nuance and speed — and ensure the right internal teams are engaged when needed.

Anthropic

The Cloud Inference team is responsible for scaling and optimizing Claude to serve massive audiences of developers and enterprise companies across AWS, GCP, Azure, and other cloud service providers. This role involves owning the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and daily operations. Engineers on this team have a high leverage impact, driving multiple revenue streams while optimizing compute resources. The complexity of managing inference efficiently across diverse providers with different hardware, networking, and operational models is growing significantly. We are seeking product-minded backend engineers who can navigate these platform differences, design cross-provider services and abstractions, and make architectural decisions to ensure reliability and cost-effectiveness at massive scale. Your work will directly contribute to increasing service scale, accelerating the launch of new models and features, and ensuring LLMs meet rigorous safety, performance, and security standards.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Security Engineering team is crucial in protecting these AI systems and maintaining user trust. This role involves owning and contributing to key areas such as identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will have the opportunity to define architecture in largely greenfield work, collaborating closely with various teams to ensure the security and integrity of Anthropic's AI development and deployment processes.

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Anthropic

Anthropic is seeking a Staff Software Engineer to own and enhance the inner development loop for engineers and researchers building Claude. This role focuses on optimizing the developer experience by making environment setup fast, designing secure isolation for local experimentation, and implementing pre-push validation to catch issues early. The engineer will also influence the evolution of the company's repository and platform topology, working closely with infrastructure teams. A key aspect of this role involves integrating Claude as an AI coding collaborator into the development workflow, requiring a candidate who already builds with AI assistants and has insights into their effective use.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Developer Productivity team owns the entire path from pull request to production, including review automation, CI, the merge queue, and the deploy pipeline. This role focuses on integrating these components into a fast, predictable system that scales with the company's growth. You will be responsible for making "time from push to healthy in production" a reliable metric, shaping CI and repository topology for optimal velocity, and building AI-assisted review processes. This is a tech-lead-scope individual contributor role with significant cross-team influence, representing Developer Productivity in org-wide pipeline decisions and setting standards for other teams. The team heavily utilizes Claude in its development workflows, with agentic coding being both a method of work and a component of what you will build.

Anthropic

Claude App Infrastructure owns the reliability, experience, and agentic capabilities of claude.ai. We are the platform team for Anthropic's flagship consumer product, responsible for the serving architecture that keeps Claude available at scale, the conversation experience, and the infrastructure that allows product teams to ship into claude.ai safely and quickly. We are building the agentic layer that transforms claude.ai from a chat surface into an execution surface, enabling task execution, personalization, browser use, and server-side tools. Our goal is to build systems that ensure both reliability and velocity.

$181k - $198k

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide, managing the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team's dual mandate is to maximize compute efficiency for explosive customer growth while enabling breakthrough research by providing scientists with high-performance inference infrastructure for next-generation models. This involves tackling complex, distributed systems challenges across multiple accelerator families and emerging AI hardware on various cloud platforms.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial. The Security Risk team is rebuilding risk management as an engineering function, leveraging automation and AI-native platforms. This role involves identifying, prioritizing, and treating the company's most critical security risks across a broad spectrum of systems, from authorization to cryptography. You will help define the future of risk management for frontier AI companies, with a direct impact on CISO-level decisions and the opportunity to build the underlying AI-native platform. The work is largely greenfield, allowing you to shape the architecture and discipline.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Application Security team plays a crucial role in integrating security throughout the software development lifecycle. In this hands-on technical role, you will collaborate with software engineers and researchers to embed security from design to implementation. You will lead threat modeling and secure design reviews, proactively identify and mitigate risks, and build tools to support secure coding practices. Your work will influence our tooling, detection capabilities, and defenses against emerging AI/ML threats, while also developing standards, processes, and educational resources to empower all engineers as security champions. This role requires a security practitioner with an attacker's mindset, a developer's perspective, and strong relationship-building skills.

Anthropic

As a Transformative AI Research Economist at Anthropic, you will build macroeconomic models of AI that could be genuinely transformative and develop scenario-based forecasting tools to quantitatively reason about economic trajectories with no historical precedent. You will work on questions of aggregate growth, income distribution, and economic governance under scenarios that most of the profession has not yet modeled seriously. You will ground projections in microeconomic signals from the Anthropic Economic Index, using usage patterns across millions of real-world AI interactions surfaced through privacy-preserving measurement, so that scenario forecasts are disciplined by observed task transformation and productivity. You will use frontier methods in growth theory, computational macro, and structural estimation, and contribute to AI-powered tools that expand what economic research can do.

Anthropic

Anthropic is seeking a Threat Collections Engineer to join its Threat Intelligence team. This foundational engineering role involves building the infrastructure critical for threat discovery. You will integrate external data sources, develop automated detection systems for lead generation, and create internal tooling to enhance investigator impact. The position offers the opportunity to take projects from initial concept through to production, collaborating closely with investigators to understand their needs and scale the collections function.

Anthropic

Anthropic's inference fleet serves Claude to millions of users across its own products and major cloud platforms. The stack supporting this is complex, involving accelerator kernels, model servers, distributed routing, autoscaling, and capacity management, where each layer's performance impacts the others. The Inference System Dynamics team is tasked with understanding this entire system and ensuring high performance across throughput, latency, reliability, and correctness. This involves measuring fleet performance against theoretical limits, investigating performance gaps, and owning correctness checks to ensure Claude's outputs are accurate across various hardware and serving configurations. The team focuses on identifying high-leverage optimization opportunities across components and collaborating with owning teams to implement them, treating correctness as an integral part of performance.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. We are a growing team of researchers, engineers, policy experts, and business leaders dedicated to this mission. We are seeking a Staff Software Engineer to lead technical direction at the intersection of engineering and research for the Claude Code team. In this role, you will collaborate with researchers and engineering leadership to define how we measure, understand, and enhance Claude's coding abilities. You will architect the systems, tooling, and evaluation infrastructure that accelerate our research progress and be responsible for technical decisions impacting the team and beyond. This senior individual contributor position is for someone with a proven track record of building and owning large-scale systems, ready to take on a technical leadership role by driving architecture, mentoring engineers, and influencing the future of Claude Code.

Anthropic

As a Regional Research Economist, you will collaborate with governments, academia, industry, and civil society to measure and understand AI's economic effects and explore policy interventions. You will contribute to the Anthropic Economic Index, developing new methodologies to assess AI's usage, diffusion, and impact, and broadening access to these insights. This role involves using advanced econometrics, machine learning, and structural estimation to drive impact on policy discussions and inform Anthropic's business and product strategies. The team focuses on rigorous empirical methods and novel measurement approaches, building datasets to track AI's impact on labor markets, productivity, and economic transformation using a privacy-preserving system to analyze real-world AI interactions.

Anthropic

As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's economic effects and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index, establish new methodologies to measure AI's usage, diffusion, and impact, and broaden access to the insights generated. This role involves using frontier methods in econometrics, machine learning, and structural estimation to drive impact and inform both external policy discussions and Anthropic's internal business and product decisions. The team combines rigorous empirical methods with novel measurement approaches, building datasets that track AI's impact on labor markets, productivity, and economic transformation using a privacy-preserving measurement system.

Anthropic

As an Economist at Anthropic, you will play a crucial role in measuring and understanding the profound effects of AI on the global economy. You will lead the development of the Anthropic Economic Index, establishing innovative methodologies to track AI's usage, diffusion, and impact using privacy-preserving tools and unique data sources. This role requires applying frontier methods in econometrics, machine learning, and structural estimation to drive significant impact, influencing both external policy discussions and Anthropic's internal business and product strategies. Our team focuses on rigorous empirical methods and novel measurement approaches, building datasets that analyze AI's influence on labor markets, productivity, and economic transformation.

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. We are seeking a Machine Learning Infrastructure Engineer to join our Safeguards organization. In this role, you will build and scale the critical infrastructure that powers our AI safety systems, working at the intersection of machine learning, large-scale distributed systems, and AI safety. You will develop the platforms and tools that enable our safeguards to operate reliably at scale and directly contribute to making AI systems more trustworthy and aligned with human values.

Anthropic

Anthropic is seeking an exceptional Detection and Response engineer to build solutions for monitoring threats, investigating incidents, and coordinating response efforts. This role offers the opportunity to shape security capabilities from the ground up alongside world-class research and security teams. The ideal candidate will be at the forefront of safeguarding advanced AI systems.