Senior Machine Learning Engineer, remote sensing, SAR

European Commission; Santa Cruz de Tenerife; A distancia; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A leading technology company seeks a Senior Machine Learning Engineer to advance deep learning methods in computer vision and remote sensing. The role involves working with SAR data, optimizing algorithms, and collaborating closely with researchers. Ideal candidates will have extensive experience in ML engineering and a strong educational background, with a commitment to innovation and diversity.

Formación

• 3 years in ML engineering with model development experience.
• Expertise in SAR data and strong Python skills.
• Leadership experience in R&D projects is a plus.

Responsabilidades

• Develop, train, and optimize advanced deep learning methods.
• Collaborate to design and implement deep learning algorithms.
• Conduct experimental validation and benchmarking of models.

Conocimientos

Python

Machine Learning

Deep Learning

SAR Data Processing

Data Analysis

Educación

Master's degree in engineering or relevant field

PhD in computer science, AI, ML, Robotics, or Remote Sensing

Herramientas

PyTorch

Git

Docker

Descripción del empleo

Organization / Company : ARQUIMEA RESEARCH CENTER

Research Field : Other

Researcher Profile : First Stage Researcher (R1)

Country : Spain

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.
• 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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