Computer Vision Engineer

hace 4 semanas

Ourense, España FORDAQ A tiempo completo

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:

- 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)

Interested in applying?

Send your CV together with a few introductory words about yourself

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