Research Associate - AI
Keywords Studios- Internship
- Entry Level & New Grad
Candidates should possess significant software engineering experience and a Bachelor's degree in a related field or equivalent experience. Strong candidates may have experience with high performance, large-scale ML systems, language modeling with transformers, large-scale ETL, designing ML experiments and researching ML fundamentals, and inspecting and iterating on data.
The Research Engineer will be responsible for pretraining data research, including understanding pretraining data trends and scaling laws, optimizing pretraining data mixes, investigating potential new sources of data, building research tools to better understand experimental results, and figuring out how to process and use pretraining data most effectively. They may also be involved in comparing the compute efficiency of different datasets, creating multimodal datasets, scaling data processing jobs, designing research tools, and creating interactive visualizations of semantic clusters in training data.
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.