Find Anthropic Seattle, WA, USA software engineering jobs

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

Anthropic is seeking an experienced Application Security Engineer to join their mission of creating reliable, interpretable, and steerable AI systems. This role sits at the intersection of AI development and security, requiring a unique blend of security expertise and understanding of AI-specific challenges.

The position involves leading security initiatives throughout the software development lifecycle at Anthropic, working directly with software engineers and researchers to embed security considerations from design through implementation. The role demands both technical depth in application security and the ability to influence and educate across the organization.

Key responsibilities include securing novel AI products, conducting threat modeling, managing vulnerability programs, and overseeing bug bounty initiatives. The ideal candidate will bring 5+ years of hands-on security experience, particularly in cloud and containerized environments, along with strong communication skills and the ability to think strategically about security architecture.

The role offers a competitive compensation package ($300,000-$320,000) and benefits including flexible work arrangements, generous leave policies, and the opportunity to work in Anthropic's San Francisco office. The position is hybrid, requiring 25% in-office presence, with locations available in San Francisco, Seattle, or New York City.

This is a unique opportunity to shape security practices in the cutting-edge field of AI development, working with a team dedicated to ensuring AI systems are both powerful and safe. The role requires balancing technical security expertise with strategic thinking and cross-functional collaboration, making it ideal for security professionals who want to influence the safe development of transformative AI technology.

Anthropic offers a collaborative environment focused on high-impact research and development, with the chance to work alongside leading experts in AI safety and security. The company's commitment to diversity and inclusion, along with their focus on long-term beneficial AI development, makes this an exciting opportunity for security professionals who want to make a meaningful impact in the AI field.

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

Application Security Engineer

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

Anthropic is seeking a Research Engineer to join their Pre-training team, focusing on developing the next generation of large language models. This role represents a unique opportunity to work at the intersection of cutting-edge AI research and practical engineering implementation.

The position involves working on critical aspects of AI development, including model architecture, algorithms, data processing, and optimizer development. As a Research Engineer, you'll be responsible for conducting research, implementing solutions, and leading small research projects while collaborating with team members on larger initiatives. The role requires expertise in Python and deep learning frameworks, with a preference for PyTorch experience.

The company offers a competitive salary range of $315,000 - $340,000 USD and provides comprehensive benefits including visa sponsorship, flexible working hours, and generous vacation time. The work environment is hybrid, requiring at least 25% in-office presence at one of their locations in San Francisco, Seattle, or New York City.

Anthropic stands out for its approach to AI research, viewing it as an empirical science similar to physics and biology. The company operates as a single cohesive team focused on large-scale research efforts, prioritizing impact and the development of steerable, trustworthy AI systems. Their research continues important work in areas such as GPT-3, Circuit-Based Interpretability, Multimodal Neurons, and AI Safety.

The ideal candidate will have an advanced degree in Computer Science, Machine Learning, or a related field, strong software engineering skills, and experience with large-scale machine learning systems. They should be comfortable balancing research goals with practical engineering constraints and have excellent communication skills for collaborative work.

Key projects include optimizing novel attention mechanisms, comparing compute efficiency of different Transformer variants, preparing large-scale datasets, scaling distributed training jobs, and creating interactive visualizations of model internals. The role offers an opportunity to contribute to the development of safe, ethical, and powerful artificial intelligence systems while working with a team committed to ensuring AI systems are aligned with human interests.

Anthropic values diversity and strongly encourages applications from candidates of all backgrounds, including those from underrepresented groups in tech. The company operates as a public benefit corporation and offers additional benefits such as equity donation matching and a collaborative office space for team interaction.

Research Engineer position at Anthropic focusing on pre-training large language models, combining cutting-edge AI research with practical engineering implementation.

Research Engineer, Pre-training

Anthropic is seeking an Application Security Engineer to join their mission of creating reliable, interpretable, and steerable AI systems. This role sits at the intersection of AI development and security, focusing on building security into every phase of the software development lifecycle. The position offers a unique opportunity to work on cutting-edge AI security challenges while helping shape the future of safe AI development.

The role combines hands-on technical security work with strategic security planning and implementation. You'll be responsible for leading threat modeling, secure design reviews, and developing tools and systems to support secure development practices. The position requires collaboration with software engineers and researchers to ensure security is integrated from initial design through implementation.

As an Application Security Engineer at Anthropic, you'll work on novel security challenges in AI/ML, develop standards and processes for secure development, and build tools to scale security efforts across the organization. The role offers competitive compensation ($300,000-$320,000), comprehensive benefits, and the opportunity to work in a hybrid environment from either San Francisco, Seattle, or New York City.

The ideal candidate brings 5+ years of security experience, strong technical skills in cloud and container security, and the ability to think both like an attacker and a developer. You'll need to be comfortable working in a fast-paced environment, collaborating across teams, and helping build security awareness throughout the organization. This position offers the chance to work on unprecedented security challenges in AI while contributing to Anthropic's mission of developing safe and beneficial AI systems.

Working at Anthropic means joining a collaborative team focused on high-impact AI research, with an emphasis on empirical science and practical results. The company offers a supportive environment with frequent research discussions, competitive benefits, and the opportunity to shape the future of AI security.

Senior Application Security Engineer role at Anthropic, focusing on securing AI systems and development processes, offering $300-320K salary with hybrid work options in SF, Seattle, or NYC.

Anthropic is seeking a Research Engineer for their Frontier Red Team to develop and implement critical safety evaluations for advanced AI systems. This role is central to Anthropic's Responsible Scaling Policy (RSP), focusing on ensuring the safe deployment of frontier AI models.

The position involves creating sophisticated evaluation systems to assess and control some of the most capable AI systems ever developed. You'll work across multiple crucial areas including biosecurity, autonomous replication, cybersecurity, and national security. Your responsibilities will include building, scaling, and running evaluations to measure potentially dangerous capabilities in models and determining when they cross ASL thresholds requiring enhanced security measures.

As a Research Engineer, you'll be at the forefront of AI safety, working in a hybrid environment between San Francisco or Seattle offices. The role offers competitive compensation ranging from $280,000 to $425,000 USD annually, along with comprehensive benefits including medical insurance, visa sponsorship, and parental leave.

The ideal candidate should have strong software engineering skills, particularly in Python, experience with distributed systems, and a background in conducting experiments with frontier AI models. You'll need to balance rapid prototyping with maintaining high engineering standards while working on unprecedented technical challenges.

This position represents a unique opportunity to influence AI safety standards across the industry while working with cutting-edge technology. The role requires a minimum of a Bachelor's degree or equivalent experience, with a hybrid work arrangement requiring at least 25% office presence. Anthropic values diversity and encourages applications from candidates of all backgrounds, emphasizing the importance of varied perspectives in addressing the social and ethical implications of AI development.

Senior Research Engineer position at Anthropic focusing on AI safety evaluations and implementing responsible scaling policies for frontier AI models.

Research Engineer, Frontier Red Team (RSP Evaluations)

Anthropic is seeking an experienced Staff Software Engineer to join their AI Reliability Engineering team. This role is crucial for ensuring the reliability and performance of Anthropic's AI systems, both internal and customer-facing. The position combines traditional site reliability engineering with the unique challenges of AI infrastructure.

The role involves developing and maintaining service level objectives for large language model systems, implementing comprehensive monitoring solutions, and building high-availability infrastructure capable of serving millions of customers. You'll be responsible for creating automated failover systems across multiple regions and cloud providers, leading incident response for critical AI services, and optimizing costs for large-scale AI infrastructure.

The ideal candidate brings extensive experience in distributed systems observability and monitoring at scale, with a deep understanding of AI infrastructure operations. You should be comfortable working with both traditional infrastructure metrics and AI-specific performance indicators. Experience with chaos engineering, resilience testing, and maintaining SLO/SLA frameworks is essential.

Anthropic offers a competitive compensation package ranging from $320,000 to $485,000 USD, along with benefits including equity donation matching, generous vacation and parental leave, and flexible working hours. The position is hybrid, requiring at least 25% time in one of their offices in San Francisco, New York City, or Seattle.

The company is committed to developing safe and beneficial AI systems, working as a cohesive team on large-scale research efforts. They value impact-focused work and view AI research as an empirical science. The collaborative environment includes frequent research discussions and emphasizes effective communication skills.

This is an opportunity to play a crucial role in ensuring the reliability and safety of cutting-edge AI systems while working with a team dedicated to beneficial AI development. The position offers the chance to work on unprecedented technical challenges while contributing to Anthropic's mission of creating reliable, interpretable, and steerable AI systems.

Staff Software Engineer role at Anthropic focusing on AI reliability engineering and infrastructure for large language models.

Staff Software Engineer, AI Reliability Engineering

Anthropic is seeking a Software Engineer to join their mission of creating reliable, interpretable, and steerable AI systems. This role offers an opportunity to work on cutting-edge AI technology while focusing on safety and societal benefits. The position involves building large-scale ML systems, improving infrastructure, and working on scientific experiments. The ideal candidate will have significant software engineering experience and a strong interest in machine learning research.

The role combines technical expertise with a focus on AI safety and ethics. You'll work on projects ranging from optimizing attention mechanisms to scaling distributed training jobs across thousands of GPUs. The company values collaboration, with pair programming being a key part of their working style. They operate as a cohesive team focused on large-scale research efforts rather than smaller, isolated projects.

Anthropic offers a competitive compensation package ranging from $280,000 to $485,000, along with benefits including equity donation matching, generous vacation and parental leave, and flexible working hours. The position requires at least 25% in-office presence in either San Francisco, New York City, or Seattle. The company sponsors visas and values diverse perspectives, especially given the significant social and ethical implications of their work.

The work environment emphasizes empirical science approaches to AI research, similar to physics and biology. You'll be part of a collaborative team that regularly engages in research discussions to ensure high-impact work. The role requires strong communication skills and the ability to understand complex systems design tradeoffs in rapidly evolving software systems.

Senior Software Engineering role at Anthropic focusing on building and optimizing large-scale ML systems, with emphasis on AI safety and interpretability.

Software Engineer

Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence systems to ensure transformative AI systems are aligned with human interests.

Anthropic is seeking a Research Engineer to join their Pretraining team, focusing on developing the next generation of large language models. This role sits at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. The position involves working on high-impact projects like optimizing novel attention mechanisms, comparing compute efficiency of Transformer variants, and scaling distributed training to thousands of GPUs.

The role requires an advanced degree in Computer Science or Machine Learning, with strong software engineering skills and expertise in Python and deep learning frameworks. The ideal candidate will balance research goals with practical engineering constraints while working in a collaborative environment that values communication and ethical considerations.

Anthropic offers a competitive compensation package ranging from $315,000 to $340,000 USD annually, along with comprehensive benefits including medical insurance, parental leave, and flexible working hours. The position follows a hybrid work model requiring 25% in-office presence in either San Francisco, Seattle, or New York City.

The company operates as a single cohesive team focused on large-scale AI research efforts, emphasizing impact over smaller, specific puzzles. They view AI research as an empirical science and value collaborative work, pair programming, and a strong focus on AI safety and ethics. The role offers an opportunity to work on ambitious goals for AI safety while contributing to long-term positive outcomes in the field.

This position is ideal for candidates who are passionate about AI safety, enjoy collaborative research, and want to contribute to ensuring that transformative AI systems are aligned with human interests. The team culture emphasizes empirical research, open discussion, and a commitment to developing safe and beneficial AI systems.

Research Engineer position at Anthropic focusing on pre-training large language models, combining cutting-edge AI research with practical engineering to develop safe and trustworthy AI systems.

Anthropic Seattle, WA, USA Software Engineering Jobs

Find Anthropic Seattle, WA, USA software engineering jobs