RavenPack
RavenPack builds NLP-driven analytics that turn unstructured content—news, filings, and social media—into machine-readable data for quantitative investors and risk teams. It sells data feeds, APIs, and a SaaS platform, including Bigdata.com, an agentic AI workspace launched in 2024 for financial research. Founded in 2003 and headquartered in Marbella, Spain, the privately held firm is used by hedge funds, banks, and asset managers.
Open Positions at RavenPack
5 open positions
Build and improve LLM-powered automation agents for knowledge graph and financial data workflows, taking projects from prototype to working tool. You will evaluate accuracy, document results, and iterate with support from a technical mentor.
Senior Backend Engineer building scalable data pipelines, APIs, and cloud infrastructure for RavenPack’s generative AI and finance-focused data platform. The role combines backend development, structured-data engineering, workflow orchestration, and AWS deployment in a hybrid environment.
Lead the design, evaluation, and production deployment of advanced NLP and machine learning models for RavenPack’s high-precision financial data systems. This contractor role focuses on low-latency inference, entity resolution, continuous learning, and integrating modern ML with proprietary production infrastructure.
RavenPack is seeking a senior contractor to optimize search and LLM systems for financial AI applications through hands-on prototyping, model fine-tuning, inference acceleration, and retrieval improvements. The role delivers modular, production-ready ML and LLM infrastructure enhancements to an internal Search & Recommendation engineering team.
Senior ML Engineer leading the development of search, ranking, semantic retrieval, and recommender systems for RavenPack’s generative AI platform for finance. The role spans the full machine learning lifecycle, from research and model development through production deployment.