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Job Description
A full-stack engineer with a focus on front-end development, responsible for building intuitive, high-performance user interfaces and visualizations for a platform that leverages machine learning and geospatial data to support decision-making in energy, weather, and trading domains.
Key Responsibilities
- Own and develop full features and products end-to-end, supporting multiple user personas and data needs.
- Build and maintain high-performance, user-centered UI components for technical and decision-making users.
- Create interfaces for time-series, geospatial, and probabilistic data, translating model outputs into decision-support tools.
- Collaborate with researchers and engineers to make complex model outputs understandable and usable.
- Integrate model outputs with React frontends connected to Python backends using FastAPI, WebSockets, and gRPC.
Requirements
- At least 4 years of front-end engineering experience with React and TypeScript.
- Strong aesthetic sensibility and user-centered design mindset.
- Proven ability to ship fast, accessible, maintainable UIs at a high-quality standard.
- Exposure to data or machine learning APIs and eagerness to integrate model outputs into production UIs.
- Familiarity with connecting React front ends to Python backends such as FastAPI, WebSockets, and gRPC.
- Currently based in Zurich, Switzerland, and working on a hybrid working model.
Benefits & Perks
Fair pay
Generous stock options
Work in a hybrid model (in Zurich, Switzerland)
Opportunity to work on groundbreaking technology in weather forecasting and machine learning
Collaborate in a high-agency team with experienced engineers and researchers
Shape a meaningful industry by building solutions for the energy-trading sector
Work in a product-driven culture with rapid development cycles
Impact-driven mission to apply ML to global climate and energy challenges
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