Senior AI Engineer

LiveEO GmbH
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Senior

Job location

Tech stack

Artificial Intelligence
Amazon Web Services
Software Debugging
Python (Programming Language)
Management of Software Versions
PyTorch
Deep Learning
Geospatial Data Abstraction Library (GDAL)
Machine Learning Operations
Databricks

Job description

We are now looking for a Senior AI Engineer to help build powerful multimodal models and large-scale training systems that operate on both optical/multispectral and Synthetic Aperture Radar (SAR) data. This is a balanced role-part research, part engineering, all impact The work will involve both research-style tasks and practical engineering work. As a Senior AI Engineer, you will drive the development of state-of-the-art AI systems that can learn from and reason about large volumes of satellite imagery.

Your challenge

  • Design and prototype multimodal architectures that combine optical and SAR inputs;
  • Explore or adapt emerging foundation models for remote sensing tasks;
  • Benchmark different modeling strategies and evaluate performance across diverse datasets;
  • Build scalable training pipelines including tiling, sampling, augmentations, and distributed training workflows;
  • Optimize pipelines for throughput, memory, and cost using Databricks, PyTorch Lightning, and MLflow;
  • Automate experimentation, tracking, and comparison using MLflow and Databricks;
  • Ensure your models and pipelines integrate smoothly into LiveEO's production systems.

Requirements

Do you have experience in Python?, * Strong Python engineering fundamentals with clean, maintainable coding style;

  • Deep experience with PyTorch and PyTorch Lightning;
  • Experience implementing and training deep learning models at scale;
  • Strong understanding of ML experimentation, versioning, and tracking via MLflow and Databricks;
  • Excellent problem-solving, debugging, and optimization skills;
  • Familiarity with AWS or other cloud platforms;
  • Geospatial experience is highly preferred, including tools such as GDAL, Rasterio, GeoPandas, STAC, and basic SAR preprocessing libraries.

Benefits & conditions

Pulled from the full job description

  • Flexible schedule, * 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;
  • A collaborative and learning environment - frequent internal workshops, knowledge sharing sessions, journal clubs and hackathons;
  • Office located in the centre of Berlin Kreuzberg with free fruit, nuts and drinks;
  • Potential to participate in the employee stock option program;
  • Urban Sports membership and BVG subsidy, corporate pension program;
  • A diverse and vibrant international environment of 30+ different nationalities.

About the company

LiveEO leverages satellite imagery and artificial intelligence to provide actionable insights that drive decision-making across various industries. For example, we detect trees and their height in high-resolution imagery to help protect power grids, identify dangerous construction work around critical infrastructure, and ensure compliance with deforestation regulations., LiveEO is a well funded startup founded in 2018 and based in Berlin. Our primary service is modelling risk to our customers' assets and infrastructure from vegetation, ground deformation and change detection. We currently have around 160 employees from all over the world with a variety of backgrounds   If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.

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