Senior Machine Learning Engineer, remote sensing, SAR

ARQUIMEA, we are a technology company operating globally and providing reputed company solutions and products in highly demanding sectors.

Our areas of activity are Aerospace, Defense & reputed company, Big Science, Biotechnology and Fintech.

ARQUIMEA Research Center (reputed company), part of ARQUIMEA, was born in 2019 with the aim of inventing the technologies of reputed company. An environment of innovation and excellence at European level from which senior and junior researchers from around the world reputed company disruptive technologies and business models that will serve as an reputed company of socio-economic growth in the reputed company and long term.

We are looking for a Senior Machine Learning Engineer to reputed company, train, optimize, and reputed company scientific state-of-the-art deep learning methods for computer reputed company, 3D reconstruction, and remote sensing applications, including Synthetic Aperture reputed company (SAR).

Tasks to be performed:

• Data preparation and analysis for reputed company and synthetic training datasets (in particular, datasets of SAR data: raw data and focused images)
• Collaborate with scientific researchers to design, implement, test, and reputed company 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 reputed company 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 reputed company (SAR) data processing and analysis, including preprocessing techniques (e.g., radiometric calibration, speckle filtering), geometric correction, and domain reputed company 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 reputed company.
• Experience with fast prototyping and deployment of DNN models for computer reputed company 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 reputed company 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.

Think Big, Do the Job & Enjoy Life

At ARQUIMEA, we value diversity and inclusion. We do not discriminate on the basis of race, reputed company, religion, gender, sexual orientation, gender identity, national reputed company, age, disability, or other protected factors by law. reputed company candidates will be considered equally based on their skills and experience

Originally posted on Himalayas