Senior Machine Learning Engineer

buscojobs España; Cádiz; Presencial; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

A global technology company is seeking a Senior Machine Learning Engineer to advance innovative solutions in fields like computer vision and robotic perception. This full-time role requires a strong background in deep learning and experience with cutting-edge methodologies, fostering an innovative environment for research and application.

Formación

• Master’s degree in engineering or relevant field required.
• Experience with ML frameworks like PyTorch.
• Strong Python skills and a deep understanding of DNN architectures.

Responsabilidades

• Develop, train, and optimize deep learning methods.
• Collaborate on designing and benchmarking ML applications.
• Conduct experimental validation and resource optimization.

Conocimientos

Python

Machine Learning

Deep Learning

Git

Docker

Educación

Master's degree in engineering or relevant field

PhD in computer science, AI, ML, or Robotics

Descripción del empleo

Organization / Company : ARQUIMEA RESEARCH CENTER

Research Field

Other

Researcher Profile

First Stage Researcher (R1)

Country

Spain

Application Deadline

Type of Contract

Permanent

Job Status

Full-time

Funding

NextGenerationEU

Research Infrastructure

Offer Description

ARQUIMEA is a technology company operating globally, providing innovative solutions and products in demanding sectors including Aerospace, Defense & Security, Big Science, Biotechnology, and Fintech.

The ARQUIMEA Research Center (ARC) , established in 2019, aims to invent future technologies. It fosters an environment of innovation and excellence at the European level, where 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 datasets.
• Collaborate with researchers to design, implement, test, and benchmark 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 against existing standards.

Required skills and experience

• Master’s degree in engineering or relevant field.
• 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 and Docker.
• Experience in rapid prototyping and deploying DNN models for computer vision.

Desired additional experience

• Experience with radiance fields techniques such as Neural Radiance Fields (NERF) and 3D Gaussian Splatting (3DGS).
• Leadership experience in R&D and innovation projects.
• PhD in computer science, AI, ML, or Robotics.

Additional notes

At ARQUIMEA, we value diversity and inclusion. We consider all candidates equally based on skills and experience, without discrimination based on race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or other protected factors.

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