ML Engineer

Our client is developing ground-breaking weather forecasting technology with the aim of providing fast and accurate climate data. Their aim is to significantly outperform current weather forecasting and become a huge business.

Founders have extensive experience in building fast-growing successful companies. Some famous examples are:

- [OneSoil](https://onesoil.ai/en/)
- [MAPS.ME](https://maps.me), acquired [by mail.ru in 2014](https://techcrunch.com/2014/11/13/mail-ru-buys-maps-me-to-integrate-crowdsourced-maps-into-its-my-co...) (maker of navigation apps with the offline mode)
- [AIMATTER](https://www.aimatter.com), acquired [by Google in 2017](https://techcrunch.com/2017/08/16/google-acquires-aimatter-maker-of-the-fabby-computer-vision-app/) (maker of the Fabby Computer Vision app)
- MapData, acquired [by Mapbox in 2017](https://techcrunch.com/2017/11/03/mapbox-acquires-mapdata-to-help-it-expand-into-ar-maps/) (AI and AR-based navigation)
- [VOCHI](https://vochi.com), acquired [by Pinterest in 2021](https://techcrunch.com/2021/12/06/pinterest-invests-in-creator-tools-with-acquisition-of-video-creat...) (a video creation and editing app)

Given that they’re pushing the limits and building a new approach to predict the weather along with a new way of consuming weather predictions

What you'll do

• Develop ML models for weather forecasting
• Improve model performance

Required

• Deep knowledge of convolutional neural networks;
  
• Basic understanding of recurrent neural networks (LSTM, GRU, Transformers) and time series analysis;
  
• Hands-on experience with modern frameworks - PyTorch, TensorFlow;
  
• Experience in the delivery of production-ready ML solutions;
  
• Basic knowledge of statistics;
  
• Ability and openness to learn, fail, reflect, and apply learning moving forward;
  

• Experience working with satellite imagery;
  
• Experience working with RADAR/LiDAR data (or any other sparse types of data);
  
• Experience working with map data.

What they offer

• Competitive skill- and experience-based compensation, annual review with raise option;
• Stock options for their employees;
• Awesome team, friendly and professional;
• Work equipment that you choose;
• Paid Time Off;
• Comfortable office in the heart of Warsaw.