Computer Vision Engineer

FORDAQ; Madrid; Presencial; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

A wood industry technology firm in Madrid is seeking a talented Computer Vision Researcher to apply algorithms and create machine learning models. The ideal candidate has expertise in classical computer vision, extensive experience with large datasets, and programming skills in Python and Java. Benefits include a flexible working environment and training opportunities.

Servicios

Training and knowledge transfer sessions

Flexible working hours

Private medical assurance

Gym membership discount

Extra vacation days

Formación

• Experience in classical computer vision and machine learning.
• Ability to work with large datasets.
• Hands-on experience with TensorFlow or PyTorch.
• Self-driven and pragmatic approach to tasks.

Responsabilidades

• Study and apply classical computer vision and optimization algorithms.
• Create reliable and efficient machine learning models.
• Devise methods for building qualitative datasets.
• Develop accurate 3D modeling techniques using ML.

Conocimientos

Classical Computer Vision

Machine Learning

Python programming

Java programming

TensorFlow

PyTorch

Data-driven analysis

Educación

PhD in a STEM field or 3 years experience in research

Descripción del empleo

We are seeking a talented Computer Vision Researcher to join our team.

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

Responsibilities

• Study and apply classical computer vision and optimization algorithms to improve system components.
• Create reliable and efficient Machine Learning models for object detection, segmentation, and classification.
• Devise intelligent methods for building relevant and qualitative datasets.
• Apply state‑of‑the‑art methods to address unique challenges in the wood industry.
• Scale: Enhance the scalability of ML solutions.
• 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.

Candidate qualifications

• 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.

Ideal candidate

• 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).

How to apply

Interested in applying?
Send your CV together with a few introductory words about yourself!