About the role
Own and pursue a research agenda to improve model capability and performance for agentive application. Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities. Build robust evaluations for tracking modeling improvements. Design, implement, test, and debug code across our research stack. Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s) experience (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products). OR Master's Degree in Computer Science, Machine Learning, or related field AND 5+ years experience (e.g., managing structured and unstructured data, developing and debugging models, creating infrastructure for AI-powered products). OR Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction). Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience). Experience prompting, evaluating, and working with large language models. Experience writing production-quality Python code.
