Machine Learning Engineer (f/m/x) in the field of AI & Satellite Data
LiveEOAbout the role
Build the Market Leader in Satellite Analytics with us at LiveEO
At LiveEO, we combine Space Technology with AI to solve problems here on Earth. LiveEO is applying the latest developments in artificial intelligence to analyse satellite data and is bringing the insights of earth observation data to customers in the enterprise sector. LiveEO’s ambitious goal is to monitor 1 billion assets across the globe with its unique SaaS solution until 2030.
We are looking for highly skilled Machine Learning Software Engineers with a focus on Data and Machine Learning Engineering to join our dynamic team. In the role you will focus on building robust and automated data pipelines that handle terabytes of data. Our pipelines involve a wide-range of topics such as efficient tiling strategies, merging of different data sources and various geospatial data processing challenges. Beyond that you will work closely with our principal ML Engineer to improve the Machine Learning aspects of our pipeline, and support in ML innovation topics.
Your challenge
Build and maintain efficient and reliable pre-processing pipelines to deal with large volumes of satellite imagery and related data.
Work with orchestration engines such as Prefect to orchestrate and automate workflows.
Research, design and implement state-of-the-art ML solutions to a variety of problems in the context of vegetation management (e.g., Single Tree Instance segmentation, Vitality or Species classification).
Your profile
- Excellent Python programming skills with a strong emphasis on writing clean, efficient, and maintainable code.
- Experience in designing, building, and maintaining data pipelines, with a strong background in handling large datasets.
- Proven track record of applying Machine Learning to a variety of tasks, preferably in Computer Vision.
- Familiarity with orchestration engines like Prefect to manage data & ML workflows efficiently.
- Experience in setting up CI/CD pipelines
- Familiarity with geospatial data processing tools and techniques, such as PostGIS and Cloud Optimized GeoTIFFs (COGs).
Your Benefits
- The opportunity to create a product that can improve business processes and lives across the globe.
- Flexible working hours and hybrid work model - we trust our employees to get their work done while maintaining a healthy work-life balance.
- We empower employees to drive their own career development, take initiative and have the freedom to be creative and bold.
- Not an overtime culture - we take care that overtime is done only as a necessity and always offset with time off and rest.
- Variety of team building opportunities - from jogging groups, team sports, bouldering and picnics.
- A collaborative and learning environment - frequent internal workshops, knowledge sharing sessions, journal clubs and hackathons.
- Potential to participate in the employee stock option program.
- Office located in the center of Berlin Kreuzberg with free fruit, nuts and drinks.
- Urban Sports membership and BVG subsidy.
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