Senior Machine Learning Engineer, remote sensing, SAR

ARQUIMEA; Torrejón de Ardoz; A distancia; EUR 50.000 - 90.000; Jornada completa

Descripción de la vacante

A leading global technology company is seeking a Senior Machine Learning Engineer to develop cutting-edge deep learning methods for computer vision and remote sensing applications. This role requires experience in SAR data processing and collaboration with researchers to apply state-of-the-art techniques. The position offers a dynamic work environment focused on innovation and technology development.

Formación

• Master's degree in engineering or related field required.
• Minimum 3 years of experience in ML engineering and remote sensing analysis.
• Strong Python skills and DNN architecture knowledge required.

Responsabilidades

• Prepare and analyze training datasets, especially SAR data.
• Collaborate to design and benchmark deep learning methods.
• Optimize hyperparameters and validate experimental methods.

Conocimientos

Python

Remote sensing

Geospatial data analysis

Deep Neural Networks

Machine Learning frameworks

SAR data processing

Educación

Master's degree in engineering or related field

Herramientas

PyTorch

Git

Docker

Descripción del empleo

ARQUIMEA is a global technology company providing innovative solutions in demanding sectors such as Aerospace, Defense & Security, Big Science, Biotechnology, and Fintech.

The ARQUIMEA Research Center (ARC), established in 2019, focuses on inventing future technologies through an environment of innovation and excellence at the European level. It hosts senior and junior researchers worldwide developing disruptive technologies and business models to drive socio-economic growth.

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

Responsibilities:

• Prepare and analyze real and synthetic training datasets, especially SAR data such as raw data and focused images.
• Collaborate with researchers to design, implement, test, and benchmark deep learning methods.
• Analyze implementation of state-of-the-art techniques.
• Conduct hyperparameter tuning and optimize resource usage during training.
• Perform experimental validation of new methods and benchmark against existing standards.

Requirements:

• Master's degree in engineering or related field.
• Minimum 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 analysis.
• Expertise in SAR data processing: preprocessing, radiometric calibration, speckle filtering, geometric correction, and domain adaptation.
• Strong Python skills, with experience in ML frameworks like PyTorch.
• Deep understanding of ML, especially DNN architectures, supervised and self-supervised learning.
• Experience with Git, Docker, fast prototyping, and deployment of DNN models for computer vision.

Desirable Skills:

• Experience with radiance fields techniques such as NeRF and 3D Gaussian Splatting, especially in non-optical modalities like SAR.
• Leadership experience in R&D teams of up to four members.
• PhD in Computer Science, AI, ML, Robotics, or Remote Sensing.

Our Values: Think Big, Do the Job, and Enjoy Life. We value diversity and inclusion, and do not discriminate based on race, color, religion, gender, sexual orientation, gender identity, nationality, age, disability, or other protected factors. All candidates are considered based on skills and experience.

Additional Skills: Industrial Maintenance, Machining, Mechanical Knowledge, CNC, Precision Instruments, Schematics, Maintenance, Hydraulics, Plastics Injection Molding, PLCs, Troubleshooting.

Employment Type: Full Time

Experience: 3+ years

Vacancy: 1