Senior Machine Learning Engineer

ARQUIMEA RESEARCH CENTER; Santiago de Compostela; Presencial; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

ARQUIMEA RESEARCH CENTER is seeking a Senior Machine Learning Engineer to advance state-of-the-art deep learning methods in areas like computer vision and safe autonomy. This full-time, permanent position will involve data preparation, method development, and collaboration with scientific researchers, emphasizing innovation and socio-economic growth.

Formación

• Master’s degree required; PhD valued.
• Strong Python programming skills and experience with PyTorch.
• Deep understanding of DNN architectures.

Responsabilidades

• Prepare and analyze datasets for training.
• Collaborate to design and benchmark ML methods.
• Conduct hyperparameter tuning and validate methods.

Conocimientos

Python programming

Machine learning frameworks (PyTorch)

Deep learning architectures

Version control (Git)

Containerization (Docker)

Educación

Master’s degree in engineering or relevant field

PhD in computer science, AI, ML, or Robotics

Descripción del empleo

Organisation / 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 Staff Position : 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 the technologies of tomorrow. It fosters an environment of innovation at the European level, where senior and junior researchers develop disruptive technologies and business models to drive socio-economic growth.

We are seeking a Senior Machine Learning Engineer to develop, train, optimize, and benchmark state-of-the-art deep learning methods for applications in computer vision, 3D reconstruction, robotic perception, and safe autonomy.

Tasks to be performed :

• Data preparation and analysis for real and synthetic training datasets.
• Collaborate with scientific researchers to design, implement, test, and benchmark deep learning methods.
• Analyze the implementation of state-of-the-art methods in collaboration with researchers.
• Conduct hyperparameter tuning and optimize resource usage during training.
• Validate new methods experimentally and benchmark against existing state-of-the-art techniques.

Required skills, experience, and candidate profile :

• Master’s degree in engineering or a relevant field.
• Strong Python programming skills and experience with machine learning frameworks like PyTorch.
• Deep understanding of ML, especially DNN architectures, with experience in supervised and self-supervised learning.
• Experience with version control (Git) and containerization (Docker).
• Experience in rapid prototyping and deploying DNN models for computer vision tasks.

Additional valued experience :

• Experience with radiance field techniques such as Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS).
• Leadership experience in R&D and innovation projects involving up to four team members.
• PhD in computer science, AI, ML, or Robotics.

Think Big, Do the Job & Enjoy Life

At ARQUIMEA, we value diversity and inclusion. We do not discriminate based on race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or other protected factors. All candidates are considered based on skills and experience.

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