About Anthropic
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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Research Tools team is looking for an experienced Software Engineer for our Human Feedback Interface, a system designed to collect data to refine and improve our models. We’re looking for a technical leader to work closely with researchers, mentor engineers, and provide technical leadership for this critical system at the intersection of model improvement and product development.
Responsibilities:
- Collaborate with researchers to develop front- and back-end infrastructure for novel interaction models used in our Human Feedback system
- Develop reusable UI components, libraries, and RPC systems to accelerate data collection and fine-tune our models
- Implement tools and processes to monitor and improve system performance
- Design integrations with third-party services leveraged for experimentation and data collection
- Collaborate with Security and Privacy experts to harden our infrastructure
- Mentor our growing team of engineers supporting research
- Work with researchers to accelerate the deployment of experiments
You may be a good fit if you:
- Have 5+ years of experience as a software engineer, preferably building APIs and/or responsible user interfaces for web
- Expert proficiency in frontend technologies such as React, HTML/CSS
- Have strong coding skills and experience with service-oriented architectures
- Take a product-focused approach and care about building solutions that are robust, scalable, and easy to use
- Strong communication and collaboration skills to partner effectively with cross-functional teams, including AI Researchers
- Enjoy working with a fast-paced team tackling cutting-edge problems in AI safety and conversational AI
- Enjoy pair programming (we love to pair!)
Strong candidates may also have experience with:
- Have worked with NLP and ML models before and understand their capabilities and limitations
- Have experience with REST APIs
- Have experience with react and frontend frameworks
- Have experience with containerization and DevOps
- Have experience with QA and testing automation
- Have experience with privacy and security best practices
Deadline to apply: None. Applications will be reviewed on a rolling basis.
