Anthropic creates reliable, interpretable, and steerable AI systems, focusing on safe and beneficial AI development for users and society.

Anthropic is seeking Research Engineers to revolutionize how Claude interacts with external data sources. This role focuses on redesigning information architecture for the age of Large Language Models, moving beyond traditional human-centric paradigms. As a Research Engineer, you'll be at the forefront of designing new architectures for information organization and training language models to utilize these structures effectively.

The position offers a competitive salary range of £250,000 - £340,000 GBP and includes comprehensive benefits like parental leave, flexible hours, and equity donation matching. Based in San Francisco, Anthropic operates as a public benefit corporation dedicated to developing safe and beneficial AI systems.

The ideal candidate will bring strong Python programming skills, machine learning research experience, and familiarity with LLMs like Claude. You'll work collaboratively with world-class ML researchers, participating in pair programming and contributing to innovative solutions in AI development.

Anthropic approaches AI research as empirical science, similar to physics and biology. The team works cohesively on large-scale research efforts, prioritizing impact and the development of steerable, trustworthy AI. Their research builds on significant work in areas like GPT-3, Circuit-Based Interpretability, and AI Safety.

The company values diversity and encourages applications from candidates who might not meet every qualification, recognizing the importance of varied perspectives in addressing the social and ethical implications of AI systems.

Senior Research Engineer position at Anthropic focusing on redesigning how AI systems interact with external data sources through innovative information architecture and LLM training.

Research Engineer

Anthropic creates reliable, interpretable, and steerable AI systems, focusing on safe and beneficial AI development through research and engineering.

Anthropic is seeking a Machine Learning Systems Engineer to join their Model APIs team, focusing on Model Evaluations infrastructure and Research Inference. This role is crucial for building scalable systems that enable researchers to effectively evaluate models and conduct inference tasks critical to Anthropic's mission of creating safe and beneficial AI systems.

The position offers an opportunity to work at the forefront of AI development, collaborating with researchers to build infrastructure that makes their workflows more efficient and reproducible. The role combines software engineering expertise with ML systems development, though prior ML experience isn't mandatory for strong engineers.

Working at Anthropic means joining a cohesive team focused on large-scale research efforts, treating AI research as an empirical science. The company values impact and collaboration, with frequent research discussions and a strong emphasis on communication skills. Their work builds on impressive research foundations including GPT-3, Circuit-Based Interpretability, and AI Safety.

The compensation package is highly competitive ($300,000 - $405,000), with comprehensive benefits including flexible working hours, generous leave policies, and a collaborative office environment in San Francisco. The hybrid work model requires at least 25% office presence, and visa sponsorship is available for qualified candidates.

This role is perfect for experienced engineers passionate about AI safety and development, offering the chance to directly impact the advancement of beneficial AI systems while working with a dedicated team of researchers and engineers.

Senior Machine Learning Systems Engineer role at Anthropic, building evaluation infrastructure and research inference systems for AI development.

Machine Learning Systems Engineer

Anthropic, a pioneering AI research company, is seeking a Machine Learning Systems Engineer to join their Encodings and Tokenization team. This role represents a unique opportunity to work at the intersection of AI development and system optimization, directly impacting how AI models learn and process information.

The position requires an experienced engineer with 8+ years of software engineering experience and strong machine learning expertise. You'll be working in a hybrid environment from their San Francisco office, with a competitive salary range of $300,000 to $405,000 USD. The role combines technical depth with cross-functional collaboration, focusing on developing and optimizing tokenization systems crucial to Anthropic's AI training workflows.

As a Machine Learning Systems Engineer, you'll be instrumental in building the infrastructure that enables Anthropic's research progress. Your responsibilities will span from designing tokenization systems to optimizing encoding techniques, all while ensuring the company's commitment to reliable and interpretable AI systems. The role requires proficiency in Python and modern ML development practices, with opportunities to work on cutting-edge problems in AI development.

Anthropic offers an impressive benefits package, including competitive compensation, equity donation matching, generous vacation and parental leave, and flexible working hours. The company's commitment to developing AI responsibly and their approach to AI research as an empirical science sets them apart in the field. Working at Anthropic means joining a collaborative team focused on high-impact research that could shape the future of AI technology.

The ideal candidate will thrive in a research environment where engineering directly enables scientific progress. You'll have the opportunity to work with state-of-the-art AI systems while contributing to the company's mission of creating safe and beneficial AI. The role offers significant growth potential and the chance to work on challenging problems at the forefront of AI development.

Senior Machine Learning Systems Engineer role at Anthropic focusing on encodings and tokenization systems for AI model training.

Anthropic is seeking an Applied AI Solutions Engineer to join their mission of creating reliable, interpretable, and steerable AI systems. As a member of the Applied AI team, you'll be at the forefront of driving enterprise adoption of frontier AI technology, specifically working with their AI system Claude. This role combines technical expertise with customer-facing responsibilities, requiring both strong engineering capabilities and excellent communication skills.

The position offers an opportunity to work with cutting-edge AI technology while ensuring its safe and beneficial implementation across various enterprise solutions. You'll collaborate closely with Sales, Product, and Engineering teams to help partners integrate advanced AI systems into their products. The role requires a unique blend of technical knowledge, customer engagement skills, and a deep understanding of AI safety principles.

Working at Anthropic means joining a cohesive team focused on high-impact AI research and development. The company values empirical science approaches and maintains a collaborative environment with frequent research discussions. Located in San Francisco, Anthropic offers competitive compensation (£160,000 - £240,000 GBP), comprehensive benefits, and a flexible hybrid work arrangement requiring at least 25% office presence.

This is an ideal opportunity for someone passionate about AI safety and development, with experience in customer-facing technical roles and a strong foundation in programming. The role offers the chance to influence how leading organizations implement AI while maintaining high safety and reliability standards.

Applied AI Solutions Engineer role at Anthropic, focusing on enterprise AI implementation and customer success with Claude AI system.

Applied AI Solutions Engineer

Anthropic, a pioneering AI research company, is seeking a Senior Application Security Engineer to join their mission of creating safe and beneficial AI systems. This role sits at the intersection of cutting-edge AI development and security, offering a unique opportunity to shape the security landscape of next-generation AI technologies.

The position demands a security practitioner who can think like an attacker while maintaining a developer's mindset. You'll be responsible for implementing security measures throughout the software development lifecycle, from initial design to implementation. This includes conducting threat modeling, secure design reviews, and building tools to support secure development practices.

Working in Anthropic's collaborative environment, you'll partner with software engineers and researchers to ensure security is foundational to all projects. The role offers exposure to novel security challenges in AI/ML, including addressing risks like prompt injection, data poisoning, and model extraction. You'll be instrumental in developing security standards and educational resources that enable all engineers to become security champions.

The company offers a competitive compensation package ranging from $300,000 to $320,000 USD annually, along with benefits including flexible working hours, generous vacation and parental leave, and equity donation matching. Based in San Francisco, Anthropic maintains a hybrid work model requiring at least 25% office presence.

This role is ideal for someone with 5+ years of security experience who is passionate about AI safety and can balance security requirements with business objectives. You'll need strong technical expertise in cloud environments and containerized architectures, plus excellent communication skills to effectively convey complex security concepts to diverse audiences.

Anthropic values diversity and encourages applications from candidates of all backgrounds, emphasizing that not all qualifications need to be met to be considered. The company operates as a public benefit corporation, focusing on high-impact AI research with potential global implications.

Join Anthropic to be at the forefront of securing the future of AI technology while working alongside committed researchers, engineers, and policy experts in a collaborative and impactful environment.

Senior Application Security Engineer role at Anthropic, focusing on securing AI systems and implementing security best practices throughout the development lifecycle.

Application Security Engineer

AI research company focused on creating reliable, interpretable, and steerable AI systems for safe and beneficial use.

Anthropic is seeking an ML Systems Engineer to join their Reinforcement Learning Engineering team, focusing on creating cutting-edge systems for training AI models like Claude. This role is perfect for someone passionate about advancing the frontier of machine learning and implementing advanced techniques for capable, reliable AI systems.

The position involves working directly with finetuning researchers who train production Claude models and internal research models using RLHF and related methods. You'll be responsible for building and maintaining the critical infrastructure that researchers depend on, with a focus on improving performance, robustness, and usability of these systems.

Anthropic operates as a public benefit corporation headquartered in San Francisco, emphasizing big science approaches to AI research. The team works cohesively on large-scale research efforts, valuing impact and collaboration over individual projects. The company's research continues important work in areas like GPT-3, Circuit-Based Interpretability, Multimodal Neurons, and AI Safety.

The ideal candidate brings 4+ years of software engineering experience and a strong desire to support research teams in building beneficial AI systems. Experience with high-performance distributed systems, LLM training, and Python is highly valued. The role offers competitive compensation ($315,000 - $425,000), comprehensive benefits, and a collaborative work environment with a hybrid setup requiring at least 25% office presence.

This position presents a unique opportunity to work at the intersection of cutting-edge AI development and safety, contributing to systems that will shape the future of artificial intelligence. The team values diversity of perspective and encourages applications from candidates who might not meet every qualification but are passionate about the societal implications of AI development.

ML Systems Engineer role at Anthropic focusing on building and improving AI model training systems and infrastructure.

ML Systems Engineer

Anthropic is seeking experienced iOS engineers to join their Claude mobile product team, focusing on creating applications that leverage advanced language models. The role combines cutting-edge AI technology with mobile development, offering an opportunity to shape the future of human-machine interaction. The position demands extensive iOS development experience and a deep understanding of mobile platforms, with responsibilities ranging from architecture design to performance optimization.

The ideal candidate will have 7+ years of iOS development experience, bringing expertise in Swift and iOS frameworks, along with practical full-stack development experience. The role offers competitive compensation ($320,000 - $405,000) and comprehensive benefits, including flexible working hours and parental leave.

Anthropic, headquartered in San Francisco, operates as a public benefit corporation dedicated to creating safe and beneficial AI systems. The company emphasizes big science approaches to AI research, viewing it as an empirical science similar to physics and biology. They value collaboration, impact-focused work, and diverse perspectives in addressing the social and ethical implications of AI development.

The position requires hybrid work arrangement with at least 25% office presence, offering a collaborative environment where engineers work closely with researchers, designers, and product teams. This role presents an exceptional opportunity to contribute to transformative AI technology while focusing on user-friendly mobile applications that enhance human potential.

Senior iOS Engineer position at Anthropic, building AI-powered mobile applications with competitive compensation and comprehensive benefits.

iOS Engineer

Anthropic is seeking a Multimodal AI Researcher/Engineer to join their team focused on creating safe and beneficial AI systems. The role combines research and engineering, working on frontier AI systems that operate across multiple modalities including images, video, and audio. The position involves developing new architectures, building infrastructure, and working with large-scale data processing.

The team operates across a comprehensive stack including training, inference, system design, and data collection. Key areas include foundational research in multimodal architectures, building complex reinforcement learning environments, developing high-performance servers, and creating tools for large-scale data processing.

Anthropic operates as a cohesive team focused on high-impact AI research, viewing it as an empirical science similar to physics and biology. The company values collaboration, communication, and a focus on advancing long-term goals of creating steerable, trustworthy AI. They have a strong track record in significant AI research including GPT-3, Circuit-Based Interpretability, and Multimodal Neurons.

The position offers competitive compensation (£250,000 - £270,000 GBP), comprehensive benefits, and a collaborative work environment in San Francisco. The role requires at least 25% office presence, with visa sponsorship available for qualified candidates. Anthropic particularly encourages applications from underrepresented groups and values diverse perspectives in addressing the social and ethical implications of AI systems.

Join Anthropic as a Multimodal AI Researcher/Engineer to develop safe and beneficial AI systems, working on frontier multimodal models and infrastructure.

Multimodal AI Researcher/Engineer

Anthropic is at the forefront of developing safe and beneficial AI systems, focusing on reliability, interpretability, and steerability. As a Software Engineer, you'll be integral to their mission of creating trustworthy AI systems that benefit society. The role combines deep technical expertise with a strong emphasis on safety and ethical considerations.

You'll work on cutting-edge machine learning systems, from optimizing attention mechanisms to scaling distributed training across thousands of GPUs. The position requires expertise in high-performance computing, ML infrastructure, and systems design. You'll collaborate with researchers, engineers, and policy experts in a highly collaborative environment that values communication and impact.

The company approaches AI research as an empirical science, similar to physics and biology. They focus on large-scale research efforts rather than smaller, specific problems. Their work builds on impressive foundations including GPT-3, Circuit-Based Interpretability, and Multimodal Neurons.

The role offers significant growth opportunities in ML research while contributing to important technical challenges. You'll be part of a team that values diverse perspectives and encourages applications from all backgrounds. The hybrid work environment, competitive compensation ($280,000-$485,000), and comprehensive benefits make this an attractive opportunity for those passionate about developing beneficial AI systems.

As a public benefit corporation, Anthropic demonstrates their commitment to positive societal impact. The collaborative culture, emphasis on learning, and focus on meaningful work make this an ideal position for engineers who want to contribute to the safe development of transformative AI technology.

Senior Software Engineer role at Anthropic focusing on building large-scale ML systems with emphasis on safety and reliability.

Software Engineer

Anthropic is pioneering the development of safe, ethical, and powerful artificial intelligence systems. As a Research Engineer on the Pretraining team, you'll be at the forefront of developing next-generation large language models. This role uniquely combines cutting-edge research with practical engineering challenges.

The position offers an opportunity to work on groundbreaking AI technology while prioritizing safety and ethical considerations. You'll be part of a collaborative team conducting research on model architecture, algorithms, and data processing, while also optimizing training infrastructure and developing essential tools.

Key projects include optimizing novel attention mechanisms, comparing Transformer variants' compute efficiency, preparing large-scale datasets, scaling distributed training to thousands of GPUs, and creating interactive visualizations of model internals.

Anthropic operates as a cohesive team focused on large-scale research efforts, viewing AI research as an empirical science. The company offers competitive compensation, benefits including equity donation matching, generous vacation and parental leave, and a collaborative office space in San Francisco.

The ideal candidate will have advanced degrees in Computer Science or related fields, strong software engineering skills, and expertise in Python and deep learning frameworks. You should be passionate about AI safety, comfortable balancing research with engineering constraints, and eager to contribute to a team working on transformative AI systems.

Anthropic values diversity and strongly encourages applications from candidates of all backgrounds, including underrepresented groups in tech. The company sponsors visas and offers a hybrid work environment requiring at least 25% office presence.

This role is perfect for someone who views research and engineering as complementary disciplines, has ambitious goals for AI safety, and is committed to creating the best long-term outcomes in AI development.

Research Engineer position at Anthropic focusing on developing next-generation large language models with emphasis on safety and ethics.

Anthropic is seeking an Engineering Manager to lead their Inference Scalability and Capability team, focusing on building and maintaining critical systems that serve LLMs. This role combines technical leadership with team management, requiring expertise in distributed systems and ML infrastructure. The position offers competitive compensation ($320,000-$405,000) and benefits, including visa sponsorship opportunities. Based in San Francisco with a hybrid work model, Anthropic operates as a public benefit corporation dedicated to creating safe, reliable AI systems. The role demands 5+ years of experience leading distributed systems teams and involves partnering with research, infrastructure, and product teams to optimize LLM inference systems and develop new capabilities. The company emphasizes collaborative research and values diverse perspectives in advancing their mission of developing steerable, trustworthy AI. They operate as a cohesive team focused on large-scale research efforts, viewing AI research as an empirical science comparable to physics and biology. The role offers opportunities to work on cutting-edge AI technology while contributing to the responsible advancement of AI capabilities.

Engineering Manager position at Anthropic leading the Inference Scalability team, focusing on LLM systems and distributed computing with competitive compensation and benefits.

Engineering Manager, Inference Scalability and Capability

AI safety and research company working to build reliable, interpretable, and steerable AI systems to benefit humanity.

Anthropic, an AI safety and research company, is seeking a Security Engineering Manager to lead their Application Security team. This role combines technical leadership with security expertise, focusing on building and maintaining robust security practices across the organization. The position offers an opportunity to work on cutting-edge AI systems while ensuring their security and reliability.

The role requires a blend of hands-on security experience and management skills, with responsibilities spanning from implementing security practices in the software development lifecycle to managing vulnerability programs and leading a team of security engineers. The ideal candidate will have extensive experience in application and infrastructure security, particularly in cloud environments and AI/ML systems.

Working at Anthropic means joining a collaborative environment where research and practical implementation come together. The company approaches AI research as an empirical science, similar to physics and biology, and values impact-driven work. The team works cohesively on large-scale research efforts, making this an ideal opportunity for someone passionate about AI safety and security.

The position offers competitive compensation with a salary range of $405,000 USD, along with comprehensive benefits including visa sponsorship, flexible working hours, and generous leave policies. Based in San Francisco with a hybrid work model requiring at least 25% office presence, this role provides an opportunity to work on meaningful projects that contribute to the safe and beneficial development of AI systems.

Anthropic values diversity and encourages applications from candidates of all backgrounds, emphasizing that not all qualifications need to be met to be considered. The company's mission to ensure AI benefits all of humanity makes diverse perspectives particularly valuable in their work.

Lead Application Security team at Anthropic, ensuring security of AI systems through management of security practices, vulnerability programs, and team leadership.

Security Engineering Manager

Anthropic creates reliable, interpretable, and steerable AI systems, focusing on safe and beneficial AI development.

Anthropic is at the forefront of creating reliable and safe AI systems, seeking a Staff Software Engineer to join their API team. This role is crucial in building the world's most trusted AI platform for developers, working on their rapidly growing API that serves companies of all sizes. The position offers an opportunity to work on cutting-edge AI technology, either on the API Capabilities team (focusing on shipping intelligent APIs and core capabilities) or the API Knowledge team (transforming Claude into a knowledge worker).

The role demands a blend of technical expertise and leadership, requiring 8+ years of industry experience and proven ability to lead complex projects. You'll be working with Python, TypeScript, and modern cloud infrastructure while collaborating directly with research teams to productize frontier capabilities. The position offers a competitive salary range of $320,000 - $485,000 USD and includes comprehensive benefits.

Based in San Francisco with a hybrid work model (minimum 25% office presence), Anthropic offers a collaborative environment where you'll be part of a cohesive team working on large-scale research efforts. The company values impact over incremental improvements and views AI research as an empirical science. This is an excellent opportunity for someone passionate about API design, distributed systems, and making advanced AI capabilities accessible to developers while ensuring safety and reliability.

The role combines technical challenges with the opportunity to shape the future of AI development, making it ideal for engineers who want to work at the intersection of cutting-edge research and practical application. Anthropic's commitment to diversity and ethical AI development makes this an especially appealing position for those interested in the social implications of AI technology.

Senior API Software Engineer role at Anthropic, building and scaling AI capabilities while ensuring safety and excellent developer experience.

Anthropic Engineering Jobs

Anthropic creates reliable, interpretable, and steerable AI systems, focusing on safe and beneficial AI development for users and society.