AI Research Engineer

Role overview Apply machine learning research to production systems for classification, detection, and evaluation. This role spans experimentation and implementation, with a focus on turning advances in language and generative models into useful capabilities for real users.

Responsibilities - Develop and improve applied ML systems for classification and detection. - Evaluate model performance and help ensure deployed systems work reliably. - Move between research exploration and production implementation. - Apply language model techniques, including evaluation and fine-tuning.

Requirements - Strong applied machine learning experience, including production work. - Deep experience with language models, evaluation, and fine-tuning. - Comfort moving from research ideas to shipped software. - Interest in building practical AI products rather than focusing only on academic research.

Nice to have - Experience with generative image or video models.