Product Software Engineering - Quantitative Modeling

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

We've found that our successful team members share some key characteristics, and as we've grown our team, these are the qualities we've learned to seek out. We take pride in our strong, collaborative culture, and these core attributes not only reflect our shared values, but can help you evaluate how well you might fit into our team:

• A builder at heart: You’re passionate about building things, solving complex problems, and approaching challenges with an entrepreneurial spirit and humility. Your sharp sense of prioritisation gives you a laser focus on delivering results that uplift the entire team, moving us closer to our goal.

• Results-driven: You thrive when taking full ownership of tasks, seeing them through from start to finish, and taking accountability for the results. You’re proactive, resourceful, and avoid over-complication - anticipating problems, even in complex, uncertain environments.

• Growth mindset: You are intellectually curious, have a critical mind, and seek opportunities to stretch your abilities. You explore the state-of-the-art, you dig deep to truly understand a problem, and question assumptions.

• A strong collaborator: You naturally communicate with clarity and purpose, ensuring your ideas and updates are easily understood. You work efficiently, embracing an iterative approach that allows for frequent progress and course correction. You’re open to direct feedback, adapting quickly and using it to improve both your work, and the performance of those around you.

• Approaching problems and tasks like a project manager:

  • You can take a given goal and break it down into smaller parts.

  • You can solve problems systematically, by yourself as well as collaboratively with others.

  • You involve others in effective problem-solving sessions because you value getting to the best solution over being right.

  • You document processes well to ensure others can jump in to collaborate effectively.

Want to know more?

On our website you can find more about our team and work culture, as well as example tasks that share some insight into the type of things team members are working on.

• What we do: https://planting.space/

• Ways of work: https://planting.space/org/

• Team culture and example tasks: https://planting.space/joinus/

Our team works fully remotely, and mostly within the CET timezone.