Computer Vision Engineer

FORDAQ; Lérida; Presencial; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

Una empresa innovadora en tecnología busca un investigador en visión por computadora para mejorar soluciones en la industria de la madera. El candidato ideal debe tener experiencia en aprendizaje automático y una comprensión avanzada de técnicas de aprendizaje profundo. Trabajando en un entorno de equipo amigable, se ofrecerán beneficios como horas flexibles, un paquete salarial atractivo y oportunidades de crecimiento profesional.

Servicios

Formación y cursos

Actividades de equipo

Descuento en membresía de gimnasio

Días de vacaciones adicionales

Seguro médico privado

Formación

• Experiencia en algoritmos de visión por computadora y aprendizaje automático.
• Experiencia trabajando con grandes conjuntos de datos.
• Conclusiones basadas en datos utilizando inferencias estadísticas.

Responsabilidades

• Investigar algoritmos clásicos de visión por computadora.
• Desarrollar modelos de Machine Learning para detección de objetos.
• Aplicar técnicas innovadoras para la industria de la madera.

Conocimientos

Visión por computadora clásica

Aprendizaje automático

Python

Java

Tensorflow

PyTorch

Educación

PhD en un campo STEM

3 años de experiencia en investigación

Descripción del empleo

We are seeking a talented

¿Le interesa este puesto? Puede encontrar toda la información relevante en la descripción a continuación.

Computer Vision Researcher

to join our team.

As a Computer Vision Expert, you will have the following responsibilities and challenges :

• Research: Study and apply classical computer vision and optimization algorithms to improve system components
• Develop: Create reliable and efficient Machine Learning models for object detection, segmentation, and classification
• Design: Devise intelligent methods for building relevant and qualitative datasets
• Solve: Apply state-of-the-art methods to address unique challenges in the wood industry
• Scale : Enhance the scalability of ML solutions
• Innovate: Develop accurate and efficient 3D modeling techniques using stereo vision, structured light, and ML

We work in small teams with a startup mentality. We are a horizontal organization where originality and self‑drive are valuable assets that we encourage. Our team members have diverse research and technical backgrounds in various complementary fields. You will have a key position in designing and building innovative products.

Our clients are the largest lumber sawmills worldwide. These companies play a key role in the transition to a carbon‑neutral world, and we help them bring innovation, technology, and automation to drive efficiency and reduce waste.

A typical candidate would

• Have experience in Classical Computer Vision and Machine Learning
• Have experience working with large datasets
• Draw data‑driven conclusions using statistical inference
• Have programming experience in Python and Java
• Have hands‑on experience with Tensorflow or PyTorch
• Be self‑driven and able to independently carry a task to completion
• Be pragmatic and goal‑oriented

The ideal candidate would

• Have a PhD in a STEM field or 3‑year experience in a research position in the industry
• Have an advanced understanding of deep learning techniques applied to computer vision problems
• enjoy reading the latest academic papers in the field
• Have implemented computer vision algorithms in an industrial setting (wood industry would be perfect)
• Thrive in a client‑driven research environment that requires perseverance and creative solutions

Benefits

• Training, knowledge transfer sessions, and courses
• Regular activities with the team, team building
• Casual & friendly working environment with opportunities to impact the company with your ideas and involvement
• Flexible working hours
• Bonuses and attractive salary package
• Private medical assurance
• Bookster membership
• Fresh fruits & snacks in the office
• Gym membership discount (World Class Fitness)
• Working in an international / multicultural team
• Support for exams and certifications for professional growth
• Smart people all around, and real technical challenges
• proximity to the metro station (Victoriei - 2 min walk)
• Extra perks (Between 21 and 25 vacation days, days off for special or unexpected events)

Send your CV together with a few introductory words about yourself!