Website Anthropic
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.
Job Summary
You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you’ll touch all parts of our code and infrastructure, whether that’s making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You’re excited to write code when you understand the research context and more broadly why it’s important.
Key Responsibilities
- Build large scale ML systems
- Improve cluster reliability
- Enhance throughput and efficiency
- Run and design scientific experiments
- Improve development tooling
Requirements
- Significant software engineering experience
- Results-oriented with a bias towards flexibility and impact
- Enjoy pair programming
- Interest in machine learning research
- Concern for societal impacts of work
Preferred Qualifications
- Experience with high performance, large-scale ML systems
- Familiarity with GPUs, Kubernetes, Pytorch, or OS internals
- Knowledge of language modeling with transformers
- Experience with reinforcement learning
- Large-scale ETL experience
Benefits & Perks
The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. Annual Salary: $340,000 – $425,000 USD.
To apply for this job please visit job-boards.greenhouse.io.