Senior 3D Computer Vision Engineer (Deep Learning / PyTorch)

ARQUIMEA; Madrid; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

Una empresa tecnológica global busca un Ingeniero de Visión por Computadora 3D con experiencia en deep learning y PyTorch. Las responsabilidades incluyen el desarrollo y la optimización de métodos de deep learning y colaboración con investigadores. Se requieren habilidades sólidas en Python y un título en Ingeniería. Esta posición puede estar ubicada en Madrid, Gran Canaria o Tenerife. La empresa valora la diversidad y la inclusión en su equipo.

Formación

• Licenciatura en Ingeniería o un campo relevante.
• Máster en Ingeniería o disciplina relacionada.
• Más de 3 años de experiencia en ingeniería de ML.

Responsabilidades

• Desarrollar y optimizar métodos de deep learning para visión por computadora.
• Preparar y analizar datos para conjuntos de entrenamiento.
• Colaborar con investigadores científicos en el diseño e implementación.

Conocimientos

Programación en Python

Uso de PyTorch

Conocimiento profundo de machine learning

Control de versiones (Git)

Containerización (Docker)

Desarrollo rápido de modelos DNN

Educación

Título en Ingeniería o campo relevante

Máster en Ingeniería o disciplina relacionada

Descripción del empleo

Senior 3D Computer Vision Engineer (Deep Learning / PyTorch) ARQUIMEA•Madrid, Comunidad de Madrid, .ES

Descripción del trabajo

Somos una empresa tecnológica que opera a nivel global. Si te apasiona la tecnología y crees en su capacidad para transformar el mundo, ARQUIMEA es tu sitio. ¡Únete!

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

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

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

We are looking for a Machine Learning Research Engineer:

The ideal candidate will bring deep expertise in state‑of‑the‑art deep learning methods applied to computer vision, 3D reconstruction, robotic perception, and safe autonomy. The candidate should be comfortable working with both real and synthetic datasets, and collaborating closely with scientific researchers to push the boundaries of AI‑enabled robotics.

Tasks to be performed:

• Develop, train, optimize, and benchmark scientific state‑of‑the‑art deep learning methods for computer vision, 3D reconstruction, robotic perception, and safe autonomy use cases.
• Data preparation and analysis for real and synthetic training datasets.
• Collaborate with scientific researchers to design, implement, test, and benchmark deep learning methods.
• Collaborate with scientific researchers to develop production‑grade implementation of state‑of‑the‑art methods.
• Conduct hyperparameter tuning of the models and optimize the consumption of resources when 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:

• Degree in Engineering or another relevant field.
• Master’s degree in Engineering or a related discipline.
• Strong Python programming skills, with experience in ML frameworks such as PyTorch.
• Deep understanding of machine learning fundamentals, deep neural network (DNN) architectures, and experience with supervised and self‑supervised learning.
• Experience with version control (Git) and containerization (Docker).
• Experience in rapid prototyping and deployment of DNN models for computer vision tasks.
• At least 3 years of experience in ML engineering, including model development, training, optimization, deployment, and evaluation.

*This position can be based in Tenerife, Gran Canaria, or Madrid.

Think Big, Do the Job & Enjoy Life

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