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Senior ML Engineer(m/w/x)
Adapting state-of-the-art remote sensing and foundation models for satellite imagery AI; designing multimodal SAR-optical models. Deep PyTorch and PyTorch Lightning experience required. Time off for overtime.
Requirements
- Strong Python engineering fundamentals
- Deep experience with PyTorch and PyTorch Lightning
- Experience training deep learning models at scale
- Understanding of ML experimentation and tracking
- Strong CV fundamentals and debugging skills
- Hands-on experience with satellite imagery
- Ownership and proactive work ethic
- Clear communication and collaboration skills
- Pragmatic mindset balancing research and delivery
- Ability to structure complex ambiguity
- Experience with Ray for distributed computing
- Experience with Prefect or similar orchestration
- Familiarity with AWS or cloud platforms
- Geospatial experience including GDAL and Rasterio
- Knowledge of PostgreSQL or similar
- Familiarity with VLMs and LLMs
- Experience adapting geospatial foundation models
Tasks
- Adapt state-of-the-art remote sensing and foundation models
- Design and iterate on multimodal SAR-optical models
- Develop bitemporal and multitemporal data representations
- Standardize and preprocess high-resolution satellite imagery
- Drive dataset quality diagnostics and co-registration checks
- Build scalable training and evaluation pipelines
- Perform systematic failure analysis across acquisition conditions
- Deliver production-ready ML components and monitoring signals
- Collaborate with product teams to drive business value
- Define labeling guidelines with the data annotation team
Work Experience
- 5 - 7 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- PyTorch Lightning
- MLflow
- Databricks
- Ray
- Prefect
- AWS
- GDAL
- Rasterio
- GeoPandas
- STAC
- PostgreSQL
- Vision-Language Models
- LLMs
Benefits
Flexible Working
- Flexible working hours
- Hybrid work model
Career Advancement
- Career development support
More Vacation Days
- Time off for overtime
Informal Culture
- Collaborative and learning environment
Learning & Development
- Internal workshops
- Knowledge sharing sessions
Other Benefits
- Journal clubs and hackathons
Modern Office
- Central Kreuzberg office
Snacks & Drinks
- Free fruit, nuts, drinks
Competitive Pay
- Employee stock option program
Healthcare & Fitness
- Urban Sports membership
Public Transport Subsidies
- BVG subsidy
Retirement Plans
- Corporate pension program
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Senior ML Engineer(m/w/x)
Adapting state-of-the-art remote sensing and foundation models for satellite imagery AI; designing multimodal SAR-optical models. Deep PyTorch and PyTorch Lightning experience required. Time off for overtime.
Requirements
- Strong Python engineering fundamentals
- Deep experience with PyTorch and PyTorch Lightning
- Experience training deep learning models at scale
- Understanding of ML experimentation and tracking
- Strong CV fundamentals and debugging skills
- Hands-on experience with satellite imagery
- Ownership and proactive work ethic
- Clear communication and collaboration skills
- Pragmatic mindset balancing research and delivery
- Ability to structure complex ambiguity
- Experience with Ray for distributed computing
- Experience with Prefect or similar orchestration
- Familiarity with AWS or cloud platforms
- Geospatial experience including GDAL and Rasterio
- Knowledge of PostgreSQL or similar
- Familiarity with VLMs and LLMs
- Experience adapting geospatial foundation models
Tasks
- Adapt state-of-the-art remote sensing and foundation models
- Design and iterate on multimodal SAR-optical models
- Develop bitemporal and multitemporal data representations
- Standardize and preprocess high-resolution satellite imagery
- Drive dataset quality diagnostics and co-registration checks
- Build scalable training and evaluation pipelines
- Perform systematic failure analysis across acquisition conditions
- Deliver production-ready ML components and monitoring signals
- Collaborate with product teams to drive business value
- Define labeling guidelines with the data annotation team
Work Experience
- 5 - 7 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- PyTorch Lightning
- MLflow
- Databricks
- Ray
- Prefect
- AWS
- GDAL
- Rasterio
- GeoPandas
- STAC
- PostgreSQL
- Vision-Language Models
- LLMs
Benefits
Flexible Working
- Flexible working hours
- Hybrid work model
Career Advancement
- Career development support
More Vacation Days
- Time off for overtime
Informal Culture
- Collaborative and learning environment
Learning & Development
- Internal workshops
- Knowledge sharing sessions
Other Benefits
- Journal clubs and hackathons
Modern Office
- Central Kreuzberg office
Snacks & Drinks
- Free fruit, nuts, drinks
Competitive Pay
- Employee stock option program
Healthcare & Fitness
- Urban Sports membership
Public Transport Subsidies
- BVG subsidy
Retirement Plans
- Corporate pension program
About the Company
LiveEO GmbH
Industry
Science
Description
The company leverages satellite imagery and AI to provide actionable insights for decision-making across various industries.
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