Senior Machine Learning Engineer at at Rainbow Weather (Part-time work/Remote)

We are a start-up called "Weather Forecast Technologies - Rainbow.app" and we are building the most accurate weather service in the world Rainbow Weather. Our team collects data from a wide range of sources (radar, satellites, barometers, etc) and applies ML models to it, making an innovative product.
Our solution includes: web, android, ios client applications, a technologically diverse back-end, several different AI/ML services, monitoring and metrics collection.
You must have seen us as winners of the day and week at Product Hunt last August and the other day as nominees for the Golden Kitty Awards in the best mobile app category.

If you don't know about us, you can listen to the podcast with investor Yura Melnicek.

Over the last year of operation, we have done
  • By metrics we make the best precipitation forecast two hours ahead with updates every 10 minutes.
  • By metrics in North America and Britain we get ahead of Apple and worldwide we got ahead of AccuWeather and of The Weather Channel
  • We made an app that became successful on Product Hunt in the Golden Kitty Awards award in the best mobile app category.

What makes us different from other apps?
We have cool features that make us better than others. For example, push notification for sudden weather changes. If it rains in your location, we'll make sure to let you know to bring an umbrella.

Our goals for 2024
  • The best minute-by-minute weather forecast in the world for 24 hours with updates every 5-10 minutes.
  • We want our app to operate covering the entire globe
  • Strengthening the development of our application and separately its B2B direction

We are now looking an excellent Senior Mahine Learning Engineer!

Responsibilities
  •  Independent organization of their work in the tasks of the product
  • Participation in large meetings once a week and daily stand-ups
  • The manifestation of initiative and its argumentation
  • Finding the best solutions for continuous product improvement
  • Development of state-of-the-art deep learning based weather prediction models:
  • From early prototype to production
  • On the global scale
  • In automated manner, utilizing AutoML approaches, so each region have their best model
  • From nowcasting (3 minutes) to hours and days
  • Successful collaboration with other team members

Requirements
  • Deep knowledge of convolutional neural networks: architectures, losses, typical tasks (segmentation, classification, object detection)
  • Basic understanding of recurrent neural networks (LSTM, GRU, Transformers) and time series analysis
  • Basic understanding of GANs
  • Hands-on experience with modern frameworks - PyTorch, TensorFlow
  • Experience in delivery of production-ready ML solutions
  • Basic knowledge of statistics
  • Ability and openness to learn, fail, reflect and apply learning moving forward
  • High level of self-organization
  • Ability to solve complex engineering problems in favor of business problems
  • High degree of involvement in the product
  • The ability to develop the product in depth

Would be nice to have
  • Experience working with satellite imagery
  • Experience working with RADAR/LiDAR data (or any other sparse types of data)
  • Experience with AutoML approaches
  • Experience with anomaly detection techniques

What we offer
  • We offer solid stock options compensation for the result. It's a chance to earn much more then regular salary.
  • We can help with relocation to EU if you need it.
  • We have comfortable office in center of Warsaw to offline meeting, the company will cover all transportation costs for this meeting.

A few words about the team

And you will fit perfectly into the team if
  • You are an engaged, curious and open to new experience performer.
  • You can't imagine your growth without technical challenges
  • You are a team player and are ready to support the guys in any situation
  • You understand what a start-up is, that your opinion and time is important for the whole team and sometimes it is hard to replace you.
  •  You are very independent and responsible
  • You have or have had a pet project
  • You have a great sense of humor )

Stages of the interview
  1. Pre-screen with the recruiter (45 minutes)
  2. Matematican interview (60 minutes)
  3. Cultural-Fit Interview (60 minutes)
  4. Technical Interview (60 minutes)
  5. Pre-offer meeting (30 minutes)
Made on
Tilda