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Position

Product Engineer for seasonal fire hazard forecasting (Working Student) - (m/f/d)

Company
Company
OroraTech
Place
Munich, Germany
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Added: March 26, 2024
The Mission

Munich-based OroraTech is developing a constellation of nano-satellites with thermal infrared cameras for automated wildfire detection, severe weather warnings, and various other applications. The new constellation will significantly reduce the detection time of wildfires and allow their near-real-time monitoring, thus empowering first responders, government, and insurance clients and decreasing the chances of megafires developing. OroraTech is developing the first global wildfire intelligence service, which includes early detection, real-time monitoring, risk assessment, and damage analysis capabilities.

Our Munich-based fire risk modeling product team is on the lookout for a committed and talented Working Student with a special interest in seasonal fire hazard modeling. As a vital member of our team, you will contribute to the development and enhancement of a sophisticated fire hazard prediction model that leverages our own satellite constellation data.

What you’ll be doing

As a Product Engineering Working Student You Will

  • Develop an experimental proof of concept for a seasonal fire hazard forecasting model
  • Create a robust ground truth dataset based on third party and proprietary remote sensing raster data.
  • Compare and test different forecasting models
  • Prototype iterations with customer feedback
  • Design and implement an explainability concept, facilitating end users to decode and comprehend predicted fire hazard scores.
  • Develop a visually appealing and intuitive design concept for communicating hazard model output, contributing to improved user engagement and understanding.

Relevant Skills

  • Capable of working both independently and within a cross-functional team environment
  • Knowledge of Python for data analysis and scripting purposes.
  • A strong understanding of product development, along with the ability to grasp product enhancements and limitations.
  • Previous exposure to the insurance market would be considered an asset.
  • Experience in working with time series forecasting on multidimensional geodata.
  • Experience in data processing and training dataset generation from netcdf files.
  • Proficiency in applying mainstream Machine Learning and statistical models in Python.
  • Experience with version control systems (gitlab)
  • Excellent problem-solving abilities, attention to detail, and a strong sense of ownership.
  • Excellent communication skills (!) to interact with different stakeholders within the product development cycle

We are committed to fostering diversity and inclusion and strongly encourage candidates from a wide range of backgrounds to apply, including but not limited to women, people of color, LGBTQ+ individuals, veterans, and people with disabilities.

Our Benefits

Benefits

At OroraTech you can expect a down to earth, yet high-caliber work environment. You will be part of the OroraTech team - a talented, international, open-minded team that is highly motivated to create impact. OroraTech gives you the opportunity to grow on a professional and personal level. Benefits include:

  • Be part of the solution to climate change
  • Attractive office and lab in Munich (obviously including free snacks/drinks/coffee)
  • A great remote/hybrid office culture, which allows you to be very flexible. Take care of your family? Late sleeper? Early riser? Prefer to work from outside from time to time? We can make all of that happen.

If you apply: Please always include references of your prior work (for example your thesis, talks, papers, code repositories, websites, write-ups, articles, apps, exposes, anything), if permissible. Please avoid detailed grade reports and online certificates. We value well-crafted motivation letters stating how you learned about OroraTech, why you think you would be a great addition to the team and why you want to work at a NewSpace startup. Please also list your earliest starting date and expected salary.

About Us

At OroraTech, you can expect a down-to-earth yet high-caliber work environment. You will be part of the OroraTech team - a talented, international and open-minded team that is highly motivated to create impact.

With us you can grow on a professional and personal level and gain insights into the most exciting new technologies and business models.

You will have the opportunity to become part of our firefighting mission from space and deliver the tools to better cope with natural disasters and mitigate climate change.

Could a job be any cooler?

We are looking forward to your application!
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