Product Software Engineering - Quantitative Modeling
PlantingSpace(1 month ago)
About this role
The Product Software Engineer for Quantitative Modeling will develop and commercialize an AI system designed for analysts and scientists, focusing on multi-step analysis and verifiable reasoning. Responsibilities include creating use-case demos for applications in quantitative domains, collaborating with the product team to define and implement new features, and writing clean, performant code. Ideal candidates will have experience in transforming research software into products, applied mathematical modeling, and proficiency in programming languages such as Julia or functional languages like Rust or C++.
Required Skills
- Productization
- Application Development
- Feature Definition
- User Orientation
- Clean Code
- Performance Optimization
- Collaborative Environment
- Mathematical Modeling
- Large Codebases
- CI/CD Practices
+12 more
Qualifications
- Mathematics, Computer Science, or Statistics advanced degree
About PlantingSpace
planting.spacePlantingSpace is an innovative platform dedicated to building a system that accurately represents knowledge and uncertainty, enabling the discovery of insights and transparent problem solving. The company aims to tackle the challenges of accessing and utilizing humanity's vast collective knowledge, which is often spread across numerous databases, websites, and scientific papers. By integrating advanced techniques such as probabilistic frameworks, deep learning, and cognitive science, PlantingSpace is developing tools that facilitate effective reasoning and learning across various domains, making knowledge more accessible and actionable.
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