Member of Technical Staff, Search
Cohere- Full Time
- Junior (1 to 2 years)
Candidates should possess a Bachelor’s degree in a related field or equivalent experience, along with strong experience in Python programming and machine learning research. Experience developing software utilizing Large Language Models such as Claude is preferred, and a bias towards flexibility and impact is desired.
The Research Engineer will be responsible for designing and implementing new information architecture strategies, performing finetuning and reinforcement learning to teach language models to interact with new architectures, building evaluation datasets, and designing and evaluating advanced agentic search capabilities. They will also collaborate with product teams to prototype solutions, build complex agentic systems, and develop scalable distributed information retrieval systems such as search engines and knowledge graphs.
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.