Job Description
About Anthropic\n### You may be a good fit if you:\n- Have significant software engineering experience\n- Are results-oriented, with a bias towards flexibility and impact\n- Pick up slack, even if it goes outside your job description\n- Enjoy pair programming (we love to pair!)\n- Want to learn more about machine learning research\n- Care about the societal impacts of your work\n\n### Strong candidates may also have experience with:\n- High performance, large-scale ML systems\n- GPUs, Kubernetes, Pytorch, or OS internals\n- Language modeling with transformers\n- Reinforcement learning\n- Large-scale ETL\n\n### Representative projects:\n- Optimizing the throughput of a new attention mechanism\n- Comparing the compute efficiency of two Transformer variants\n- Making a Wikipedia dataset in a format models can easily consume\n- Scaling a distributed training job to thousands of GPUs\n- Writing a design doc for fault tolerance strategies\n- Creating an interactive visualization of attention between tokens in a language model\n\nThe annual compensation range for this role is listed below.\n\nWe encourage you to apply despite not meeting every qualification.\n\nHow we're different: Anthropic is a public benefit corporation, headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space.\n
