Find Anthropic Mid-Level Software Engineer software engineering jobs

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

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 seeking a Research Engineer to join their Alignment Science team, focusing on creating safe and beneficial AI systems. The role combines scientific and engineering expertise to conduct exploratory experimental research on AI safety, particularly concerning powerful future systems.

The position involves working on critical projects including Scalable Oversight, AI Control, Alignment Stress-testing, and Automated Alignment Research. You'll be conducting machine learning experiments, testing safety techniques, running multi-agent reinforcement learning experiments, and building evaluation tools for LLM systems.

Anthropic operates as a cohesive team focused on large-scale research efforts, viewing AI research as an empirical science. The company values impact and collaboration, with frequent research discussions to ensure high-impact work. Their research builds on previous work including GPT-3, Circuit-Based Interpretability, Multimodal Neurons, and Scaling Laws.

The ideal candidate should have significant software, ML, or research engineering experience, familiarity with technical AI safety research, and a preference for collaborative projects. Strong candidates may have experience with LLMs, reinforcement learning, and complex shared codebases. The role requires at least 25% time in the Bay Area office.

As a public benefit corporation, Anthropic offers competitive compensation, benefits including equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office space in San Francisco. They value diverse perspectives and encourage applications from candidates who might not meet every qualification, recognizing the social and ethical implications of their work.

Research Engineer position focusing on AI safety and alignment research at Anthropic, conducting machine learning experiments and collaborative research.

Research Engineer, Alignment Science

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

Anthropic is seeking a Trust and Safety Software Engineer to join their mission of creating reliable, interpretable, and steerable AI systems. This role is crucial for ensuring the safety and beneficial impact of their AI technology.

The position focuses on building robust safety and oversight mechanisms for AI systems, with responsibilities including developing monitoring systems, implementing abuse detection infrastructure, and working closely with research teams to enhance model security. You'll be at the forefront of preventing misuse and ensuring user well-being while enforcing terms of service and acceptable use policies.

The ideal candidate should have 3-8+ years of software engineering experience, particularly in areas related to integrity, spam, fraud, or abuse detection. Strong technical skills in Python, SQL, and data analysis are required, along with excellent communication abilities to bridge technical and non-technical stakeholders.

Anthropic offers a collaborative environment where you'll work as part of a cohesive team focused on high-impact AI research. The company values empirical science approaches and maintains strong connections to influential research in areas like GPT-3, Circuit-Based Interpretability, and AI Safety.

Based in San Francisco, Anthropic provides competitive compensation (£240,000 - £325,000 GBP), comprehensive benefits, and a flexible hybrid work environment requiring at least 25% office presence. They offer visa sponsorship and maintain an inclusive culture that welcomes diverse perspectives, crucial for addressing the social and ethical implications of AI development.

This role presents a unique opportunity to contribute to the development of safe, beneficial AI systems while working with leading researchers and engineers in the field. The position combines technical challenges with the meaningful goal of ensuring AI safety and ethical deployment at scale.

Trust and Safety Software Engineer role at Anthropic focusing on building safety and oversight mechanisms for AI systems.

Trust and Safety Software Engineer

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

Anthropic is seeking a Research Engineer to join their Societal Impacts team, focusing on creating and maintaining critical infrastructure for AI safety research. This role combines technical expertise with societal impact assessment, requiring skills in both engineering and research.

The position offers an opportunity to work at the intersection of AI development and social responsibility, contributing directly to research publications, policy campaigns, and safety systems. The role demands expertise in building scalable infrastructure, running experiments with ML systems, and developing evaluation tools.

As a Research Engineer, you'll be part of a collaborative team working on large-scale research efforts, with a focus on creating steerable and trustworthy AI. The role involves close collaboration with researchers, data scientists, and policy experts, making it ideal for someone who enjoys cross-functional work and has strong communication skills.

The company offers competitive compensation ($315,000-$340,000) and comprehensive benefits, including visa sponsorship and flexible working arrangements. The position is based in San Francisco with a hybrid work model requiring at least 25% office presence.

Key responsibilities include designing scalable infrastructure for AI experiments, building monitoring systems for detecting misuse, and creating tools for analyzing AI system characteristics. The ideal candidate will have experience with Python, distributed systems, and ML model integration, along with the ability to make technical decisions in uncertain environments.

Anthropic values diversity and encourages applications from candidates who might not meet every qualification. The company operates as a public benefit corporation, emphasizing the importance of AI safety and societal benefit in their mission.

This role offers a unique opportunity to contribute to the development of safe and beneficial AI systems while working with a team of committed researchers and engineers. The position combines technical challenges with meaningful impact on the future of AI development and its effects on society.

Research Engineer position at Anthropic focusing on societal impacts of AI systems, infrastructure development, and safety research.

Research Engineer - Societal Impacts

Anthropic, a pioneering AI research company, is seeking a UI Engineer to join their Labs team - an internal accelerator bridging research and product development. This role offers a unique opportunity to work at the forefront of AI technology, focusing on rapidly prototyping and evaluating emerging AI capabilities.

The position involves working closely with researchers to validate the feasibility and product potential of cutting-edge AI breakthroughs. As a UI Engineer, you'll be responsible for building lightweight demos and generating insights that inform Anthropic's product roadmap. The role requires a balance of creative exploration in interface design with practical usability considerations.

Anthropic Labs serves as a crucial link between research and product development, identifying opportunities that could transition to products within a 6-12 month timeframe. The team embeds with research groups to provide product perspective and pressure test assumptions. Successful candidates will join a collaborative environment where AI research is approached as an empirical science.

The company offers an attractive compensation package ranging from $320,000 to $560,000 USD, along with comprehensive benefits including flexible working hours, generous leave policies, and visa sponsorship opportunities. The hybrid work model requires at least 25% office presence in San Francisco.

This role is ideal for someone passionate about AI's societal impact and ethics, comfortable with ambiguity, and skilled in modern frontend technologies. You'll be part of a team working on some of the most challenging and important problems in AI development, contributing to Anthropic's mission of creating safe and beneficial AI systems.

UI Engineer role at Anthropic Labs focusing on prototyping AI interfaces and bridging research with product development

UI Engineer

Anthropic is seeking a Trust and Safety Software Engineer to join their mission of creating reliable, interpretable, and steerable AI systems. This role is crucial for building safety and oversight mechanisms for AI systems, focusing on monitoring models, preventing misuse, and ensuring user well-being. The position combines technical expertise with safety-conscious development, requiring skills in abuse detection, monitoring systems, and defensive infrastructure.

The ideal candidate will have 3-8+ years of software engineering experience, particularly in integrity, spam, fraud, or abuse detection. They'll work on developing sophisticated monitoring systems, building abuse detection mechanisms, and creating robust multi-layered defenses that operate at scale. The role requires proficiency in SQL, Python, and data analysis tools, along with strong communication skills.

Anthropic offers a collaborative environment where team members work together on large-scale research efforts, focusing on impactful AI development. The company values empirical science approaches and maintains a strong emphasis on communication and research discussions. They provide competitive compensation (£240,000 - £325,000 GBP), flexible working arrangements, and various benefits including visa sponsorship.

Located in San Francisco, Anthropic operates as a public benefit corporation, demonstrating their commitment to societal benefit. They encourage applications from diverse candidates, even those who might not meet every qualification, recognizing the importance of varied perspectives in addressing the social and ethical implications of AI systems. The hybrid work environment requires at least 25% office presence, fostering both flexibility and in-person collaboration.

Trust and Safety Software Engineer role at Anthropic, focusing on building safety mechanisms for AI systems, requiring 3+ years of experience in software engineering and security.

Anthropic is seeking an ML Systems Engineer to join their Reinforcement Learning Engineering team, focusing on building cutting-edge systems for training AI models like Claude. This role is perfect for engineers passionate about advancing AI capabilities while ensuring safety and reliability. You'll be working at the frontier of machine learning, implementing and improving advanced techniques for model training.

The position involves working with finetuning researchers who train production Claude models and internal research models using RLHF and related methods. Your primary responsibility will be developing and maintaining the critical algorithms and infrastructure that researchers depend on. This includes improving system performance, robustness, and usability to accelerate research progress.

Anthropic operates as a public benefit corporation, emphasizing big science approaches to AI research. The team works cohesively on large-scale research efforts, prioritizing impact and the development of steerable, trustworthy AI. The collaborative environment includes frequent research discussions and values strong communication skills.

The role offers competitive compensation ($315,000 - $425,000), comprehensive benefits, and a hybrid work arrangement in San Francisco. Anthropic actively sponsors visas and promotes diversity in their team, recognizing the importance of varied perspectives in AI development. The company's research builds on significant work in areas like GPT-3, Circuit-Based Interpretability, and AI Safety.

This position is ideal for candidates with 2+ years of software engineering experience, particularly those interested in high-performance distributed systems and LLM training. The role demands a results-oriented approach, flexibility, and a genuine interest in advancing beneficial AI development while considering its societal implications.

ML Systems Engineer role at Anthropic focusing on building and improving AI model training systems, offering competitive salary and hybrid work in San Francisco.

ML Systems Engineer

Anthropic creates reliable, interpretable, and steerable AI systems for safe and beneficial use.

Anthropic is seeking a Trust and Safety Software Engineer to help build safety and oversight mechanisms for their AI systems. This role focuses on developing monitoring systems, abuse detection mechanisms, and multi-layered defenses to ensure the safe and ethical use of AI models. You'll work on detecting unwanted behaviors, preventing misuse, and ensuring user well-being while enforcing terms of service and acceptable use policies.

Key responsibilities include:
- Developing monitoring systems for API partners
- Building abuse detection infrastructure
- Surfacing abuse patterns to research teams
- Implementing real-time safety mechanisms at scale
- Analyzing user reports of inappropriate content

The ideal candidate has:
- A Bachelor's degree in Computer Science or equivalent experience
- 3-8+ years of software engineering experience, preferably in integrity or abuse detection
- Proficiency in SQL, Python, and data analysis tools
- Strong communication skills

Anthropic offers a competitive compensation package including salary, equity, and comprehensive benefits. They provide a collaborative work environment, focusing on high-impact AI research and development. The company values diversity and encourages applications from underrepresented groups.

Join Anthropic in their mission to create safe and beneficial AI systems that can positively impact society as a whole.

Trust and Safety Software Engineer at Anthropic: Build safety mechanisms for AI systems

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

You want to build the cutting-edge systems that train AI models like Claude. You're excited to work at the frontier of machine learning, implementing and improving advanced techniques to create ever more capable, reliable and steerable AI. As an ML Systems Engineer on our Reinforcement Learning Engineering team, you'll be responsible for the critical algorithms and infrastructure that our researchers depend on to train models. Your work will directly enable breakthroughs in AI capabilities and safety. You'll focus obsessively on improving the performance, robustness, and usability of these systems so our research can progress as quickly as possible. You're energized by the challenge of supporting and empowering our research team in the mission to build beneficial AI systems.

Our finetuning researchers train our production Claude models, and internal research models, using RLHF and other related methods. Your job will be to build, maintain, and improve the algorithms and systems that these researchers use to train models. You'll be responsible for improving the speed, reliability, and ease-of-use of these systems.

**You may be a good fit if you:**
- Have 2+ years of software engineering experience
- Like working on systems and tools that make other people more productive
- Are results-oriented, with a bias towards flexibility and impact
- Pick up slack, even if it goes outside your job description
- Enjoy pair programming (we love to pair!)
- Want to learn more about machine learning research
- Care about the societal impacts of your work

**Strong candidates may also have experience with:**
- High performance, large scale distributed systems
- Kubernetes
- Python
- Implementing LLM finetuning algorithms, such as RLHF

**Representative projects:**
- Profiling our reinforcement learning pipeline to find opportunities for improvement
- Building a system that regularly launches training jobs in a test environment so that we can quickly detect problems in the training pipeline
- Making changes to our finetuning systems so they work on new model architectures
- Building instrumentation to detect and eliminate Python GIL contention in our training code
- Diagnosing why training runs have started slowing down after some number of steps, and fixing it
- Implementing a stable, fast version of a new training algorithm proposed by a researcher

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Machine Learning Systems Engineer role at Anthropic, focusing on building and improving AI training systems for models like Claude.

Machine Learning Systems Engineer, RL Engineering

Anthropic is seeking a Software Engineer to join our Claude.AI product team and help build innovative interfaces and APIs that enable powerful interactions with advanced language models. This role is at the forefront of reinventing how machines work with humans, pushing the boundaries of AI-powered productivity tools.

As a Software Engineer on the Claude.AI team, you will:

• Architect and build core components of the API layer for seamless interaction with large language models
• Develop intelligent conversational interfaces leveraging language models to streamline tasks and boost productivity
• Optimize APIs and interfaces for performance, scalability, and intuitive user experience
• Collaborate with researchers to continuously improve interfaces based on real-world user interactions and feedback
• Implement tools and processes to monitor model behavior, performance, and alignment with user needs
• Contribute to developing novel human-machine interaction paradigms that redefine how we work with AI

The ideal candidate will have 2+ years of experience as a software engineer, preferably building APIs and/or interfaces. Strong coding skills and experience with service-oriented architectures are essential. We're looking for someone who takes a user-centric approach to product development, prioritizing robust, scalable, and intuitive solutions.

At Anthropic, we work as a cohesive team on large-scale research efforts, valuing impact over smaller, specific puzzles. We view AI research as an empirical science and greatly value communication skills. Our collaborative environment includes frequent research discussions to ensure we're pursuing the highest-impact work.

We offer a competitive compensation package with a salary range of $300,000 - $405,000 USD, along with equity and comprehensive benefits. Benefits include health/dental/vision insurance, 401(k) matching, generous parental leave, unlimited PTO, and various stipends for personal development and wellness.

If you're passionate about shaping the future of human-AI collaboration and creating groundbreaking technologies that empower people, we'd love to hear from you. Join us in our mission to unlock the full potential of human-machine synergy and redefine the nature of work itself.

Join Anthropic as a Software Engineer on the Claude.AI team to build innovative AI interfaces and APIs, shaping the future of human-machine collaboration.

Software Engineer, Claude.AI

Anthropic is seeking a Software Engineer to join their product team and help build interfaces and APIs for large language models. This role involves working with a team of engineers and researchers to design and implement key components of Anthropic's product and platform.

Key responsibilities include:
- Building core components of the API to access large language models
- Writing integrations with third-party providers for billing, email, etc.
- Developing conversational interfaces leveraging language models
- Optimizing API and interfaces for performance, robustness, and usability
- Implementing tools to monitor model behavior and performance
- Collaborating with researchers to improve interfaces based on user interactions

The ideal candidate will have:
- 5+ years of practical software engineering experience, especially with APIs and robust user interfaces
- Strong coding skills and experience with service-oriented architectures
- A product-focused approach emphasizing scalable, robust, and user-friendly solutions
- Enthusiasm for working on cutting-edge AI safety and conversational AI problems
- Enjoyment of pair programming

Additional desirable qualifications include:
- Experience working with NLP and ML models
- Familiarity with REST APIs
- Experience with React and frontend frameworks

Anthropic offers a competitive compensation package including salary, equity, and benefits. They have a location-based hybrid work policy requiring at least 25% in-office time. The company sponsors visas when possible.

Anthropic values diversity and encourages applications from underrepresented groups. They view AI development as having major social and ethical implications, making diverse perspectives crucial.

This role provides an opportunity to work on impactful AI research and development in a collaborative environment focused on beneficial and trustworthy AI systems. The company takes an empirical, scientific approach to AI advancement.

Join Anthropic as a Software Engineer to build APIs and interfaces for large language models, focusing on AI safety and beneficial AI systems.

Anthropic Mid-Level Software Engineer Software Engineering Jobs

Find Anthropic Mid-Level Software Engineer software engineering jobs