Data scientist / applied scientist role
we are seeking skilled professionals to join our team in latam.
the ideal candidate will have research skills and a desire to pursue cutting-edge model development that pushes technological boundaries.
the successful applicant will collaborate closely with people across product teams and research organizations to see their ideas realized in products and services used worldwide.
main responsibilities:
* develop and evaluate ml models using prepared datasets, customer feedback, and novel training/fine-tuning algorithms for language models.
* write production-quality code, apply debugging best practices, and stay current with industry trends.
* drive customer-centric solutions by aligning with business goals and managing stakeholder expectations.
* collaborate cross-functionally to define success metrics and improve ai quality at scale.
* lead research projects that yield new algorithms, tools, or insights solving open 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 championing 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.
required skills & qualifications:
* 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.