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Description
- We are building an AI system for analysts and scientists, based on a fundamentally new approach to reasoning and knowledge representation. We go beyond state-of-the-art LLMs by combining algorithms symbolically, to provide novel capabilities like performing multi-step analysis, displaying a verifiable reasoning path, and assessing uncertainty. We envision applications supporting and automating analysis and research in domains such as Finance, Strategy Consulting, Engineering, Material Sciences, and more.
- We are looking for Product Software Engineers with experience in the commercialization of research software. You will contribute to the productization of our system, by developing use-case demos that clearly demonstrate its strengths and unique value. Tasks will focus on implementing applications from quantitative domains (financial analysis, physics simulation) within the framework of our system, identifying the unique strengths of our system and developing showcase demos. You will also contribute to, identifying limitations, closing gaps and helping improve the product based on these insights.
- **Useful experience:**
- Experience in turning research software into product
- Applied mathematical modeling in finance and/or scientific applications
- Experience in a collaborative, commercial software engineering environment, working on large codebases and using practices like CI/CD, testing, and code reviews
- Strong foundation in computer science algorithms and data structures
- Julia, or usage of some more functional or typed languages, e.g., Rust, OCaml, Clojure, C++, or Haskell
- Profiling and performance optimisation
- Mathematics, Computer Science, or Statistics advanced degree
- **Responsibilities:**
- Work with product team to define new features
- Define implementation strategies, and work with others to implement them
- Deliver defined features with a user-oriented mindset
- Leverage the expertise of other team members effectively
- Write design documents for more complex problems
- Write clean and performant code
- Help other team members to deliver on their goals
- **Required mindset:**
- A builder at heart: passionate about building, solving complex problems, entrepreneurial spirit, prioritization, results-oriented
- Results-driven: ownership, accountability, proactive, resourceful
- Growth mindset: curious, critical, exploring, questioning
- Strong collaborator: clear communication, efficient work, receptive to feedback
- Problem-solving approach: systematic, involving others, documenting processes
- **Additional info:**
- Our team works fully remotely, mostly within the CET timezone.
- For more info, visit:
- https://planting.space/
- https://planting.space/org/
- https://planting.space/joinus/
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Requirements
- Experience in turning research software into product
- Applied mathematical modeling in finance and/or scientific applications
- Experience in a collaborative, commercial software engineering environment, working on large codebases and using practices like CI/CD, testing, and code reviews
- Strong foundation in computer science algorithms and data structures
- Experience with Julia or functional/typed languages such as Rust, OCaml, Clojure, C++, or Haskell
- Profiling and performance optimisation skills
- Mathematics, Computer Science, or Statistics advanced degree
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Benefits
- Remote work environment
- Collaborative team culture
- Opportunities to work on cutting-edge AI and scientific research projects
- Flexible working hours within CET timezone