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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 intuitive, high-performance user interfaces for technical and decision-making users.
- Create rich visualizations for time-series, geospatial, and probabilistic data to support decision-making.
- Collaborate with researchers and engineers to make complex model outputs accessible and understandable.
- Integrate model outputs with React frontends connecting 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.
- Experience building intuitive, high-performance user interfaces for both technical users and decision-makers with a focus on clarity and responsiveness.
- Ability to develop rich interfaces for time-series, geospatial, and probabilistic data, transforming raw model outputs into decision-support tools.
- Experience connecting React front ends to Python backends using FastAPI, WebSockets, or gRPC.
- Familiarity with building full features and products end-to-end, including reusable UI components, to support multiple products, user personas, and evolving data needs.
- Ability to collaborate with researchers and engineers to make complex model outputs usable and understandable.
- Exposure to data or machine learning APIs and eagerness to integrate model outputs into production UIs.
- Experience working with visualization libraries such as ECharts, Three.js, Mapbox, Plotly, or Deck.gl for map-heavy and time-series UI components.
- Experience working with backend technologies including Python, FastAPI, WebSockets, gRPC, little bit of Rust, Zarr, and SQL databases like Clickhouse.
- Ability to build products for expert users in domains such as energy trading, quantitative finance, or ML-ops (nice-to-have).
Benefits & Perks
Fair pay
Generous stock options
Work in a hybrid model in Zurich, Switzerland
Work in a fast-paced, high-performance culture
Opportunity to work on groundbreaking technology in weather forecasting and machine learning
Collaborate with experienced engineers and researchers
Shape a meaningful industry by building solutions for the energy-trading sector
Join a mission-driven company focused on global climate and energy challenges
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