Senior Software Engineer, Machine Learning
Standard Bots- Full Time
- Senior (5 to 8 years)
Candidates should possess at least 5 years of industry-related experience, proficiency in Python and experience with deep learning frameworks such as PyTorch or Jax, and a strong software engineering background. A background in machine learning, reinforcement learning, or high performance computing is preferred, along with experience with virtualization and sandboxed code execution environments and Kubernetes.
As a Research Engineer, you will collaborate with researchers and engineers to develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models, create tools and environments for models to interact with, and design and run experiments to enhance models' reasoning capabilities, particularly in code generation and mathematics. You will also contribute to ensuring the safe and beneficial development of AI systems.
Develops reliable and interpretable AI systems
Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, serves as an AI assistant that can manage tasks for clients across various industries. Claude utilizes advanced techniques in natural language processing, reinforcement learning, and code generation to perform its functions effectively. What sets Anthropic apart from its competitors is its emphasis on making AI systems that are not only powerful but also understandable and controllable by users. The company's goal is to enhance operational efficiency and improve decision-making for its clients through the deployment and licensing of its AI technologies.