Find Anthropic Mid-Level Software Engineer software engineering jobs

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'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 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