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Senior Machine Learning Engineer, remote sensing, SAR

Senior Machine Learning Engineer, remote sensing, SAR

European Commissionislas baleares, España
Hace 18 días
Descripción del trabajo

Organization / Company : ARQUIMEA RESEARCH CENTER

Research Field : Other

Researcher Profile : First Stage Researcher (R1)

Country : Spain

Application Deadline : 31 Dec 2026 - 22 : 59 (UTC)

Type of Contract : Permanent

Job Status : Full-time

Funding : NextGenerationEU

Research Infrastructure : No

Offer Description

ARQUIMEA is a technology company operating globally, providing innovative solutions and products in highly demanding sectors.

Our areas of activity include Aerospace, Defense & Security, Big Science, Biotechnology, and Fintech.

ARQUIMEA Research Center (ARC) , established in 2019, aims to invent future technologies. It fosters innovation and excellence at the European level, where researchers develop disruptive technologies and business models to promote socio-economic growth.

We are seeking a Senior Machine Learning Engineer to develop, train, optimize, and benchmark advanced deep learning methods for computer vision, 3D reconstruction, and remote sensing applications, including Synthetic Aperture Radar (SAR) .

Tasks :

  • Data preparation and analysis for real and synthetic datasets, especially SAR data.
  • Collaborate with researchers to design, implement, and test deep learning methods.
  • Analyze the implementation of state-of-the-art methods.
  • Perform hyperparameter tuning and resource optimization during training.
  • Conduct experimental validation and benchmarking of new methods.

Required Skills and Experience :

  • Master's degree in engineering or relevant field.
  • Minimum 3 years in ML engineering, including model development, training, and deployment.
  • Minimum 3 years experience in remote sensing and geospatial data.
  • Expertise in SAR data processing and analysis.
  • Strong Python skills, with experience in PyTorch.
  • Deep knowledge of ML, especially DNN architectures, supervised and self-supervised learning.
  • Experience with Git and Docker.
  • Proven ability in rapid prototyping and deploying DNN models for vision tasks.
  • Additional Valued Skills :

  • Experience with neural radiance fields and multimodal data fusion.
  • Leadership experience in R&D projects.
  • PhD in computer science, AI, ML, Robotics, or Remote Sensing.
  • At ARQUIMEA, we value diversity and inclusion. We consider all candidates equally based on skills and experience, regardless of race, gender, age, or other protected factors.

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