Product Software Engineering - Quantitative Modeling
PlantingSpace
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++.
Skills
Qualifications
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.
About PlantingSpace
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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Salary
$105k – $141k
per year