Senior ai researcher
contribute to pioneering developments in applied artificial intelligence.
key responsibilities:
* develop and evaluate machine learning models utilizing diverse datasets, customer feedback, and novel training algorithms.
* write high-quality code, apply debugging best practices, and stay current with industry advancements.
* foster innovative solutions by aligning with strategic business objectives and managing stakeholder expectations.
* collaborate cross-functionally to define performance metrics and enhance ai quality at scale.
* lead research projects yielding new algorithms, tools, or insights solving complex problems.
* analyze evaluation outputs to identify gaps in coverage, quality, and usability.
* design experiments, define metrics, and develop ml pipelines for encoder-decoder and cross-encoder models, semantic search, and user intent understanding.
* work with large-scale data while ensuring privacy and compliance.
* engage with customers and internal teams to identify pain points and drive impactful improvements.
* stay engaged with the latest research and foster a strong applied science culture. Publishing is encouraged.
requirements:
* bachelor's degree in statistics, econometrics, computer science, electrical/computer engineering, or related field.
* 4+ years of experience in predictive analytics, statistics, or research.
* experience with synthetic data generation and data management for evaluation/training.
* at least one year of experience publishing patents or peer-reviewed papers.
* deep motivation for user-centric ai and interest in human cognition, memory, and ai.