ARQUIMEA, we are a technology company operating globally and providing innovate solutions and products in highly demanding sectors.
Our areas of activity are Aerospace, Defense & Security, Big Science, Biotechnology and Fintech.
ARQUIMEA Research Center (ARC), part of ARQUIMEA, was born in 2019 with the aim of inventing the technologies of tomorrow. An environment of innovation and excellence at European level from which senior and junior researchers from around the world develop disruptive technologies and business models that will serve as an engine of socio-economic growth in the medium and long term.
We are looking for a Senior Machine Learning Engineer to develop, train, optimize, and benchmark scientific state-of-the-art deep learning methods for computer vision, 3D reconstruction, and remote sensing applications, including Synthetic Aperture Radar (SAR).
Tasks to be performed:
- Data preparation and analysis for real and synthetic training datasets
(in particular, datasets of SAR data: raw data and focused images) - Collaborate with scientific researchers to design, implement, test, and benchmark deep learning methods.
- Collaborate with scientific researchers to analyze the implementation of state-of-the-art methods.
- Conduct hyperparameter tuning of the models and optimize the consumption of resources when training the models.
- Collaborate with scientific researchers to conduct experimental validation of new methods, and benchmarking with respect to state-of-the-art methods.
Required skills, experience and candidate profile:
- Master´s in engineering or another relevant field.
- At least 3 years of experience in ML engineering, including model development, training, optimization, deployment, and evaluation.
- At least 3 years of experience in remote sensing and geospatial data domains.
- Synthetic Aperture Radar (SAR) data processing and analysis, including preprocessing techniques (e.g., radiometric calibration, speckle filtering), geometric correction, and domain adaptation of ML models for SAR and remote sensing imagery.
- Strong Python programming skills, with experience in machine learning (ML) frameworks like PyTorch.
- Deep understanding of ML, especially deep neural network (DNN) architectures and experience with supervised and self-supervised learning.
- Experience with version control with Git and containerization with Docker.
- Experience with fast prototyping and deployment of DNN models for computer vision tasks.
Additionally, we will also value experience in the following areas:
- Experience with radiance fields techniques such as Neural Radiance Fields (NERF) and 3D Gaussian Splatting (3DGS) and their adaptation to non-optical modalities like SAR or multimodal data fusion.
- Experience leading teams of up to four people in R&D and innovation projects.
- PhD in computer science, AI, ML, and/or Robotics and/or Remote Sensing.
At ARQUIMEA, we value diversity and inclusion. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or other protected factors by law. All candidates will be considered equally based on their skills and experience
Originally posted on Himalayas
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