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Computer Vision Engineer

FORDAQ

Vigo

Presencial

EUR 40.000 - 60.000

Jornada completa

Hace 2 días
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Descripción de la vacante

Una empresa innovadora en tecnología busca un Investigador en Visión por Computadora para unirse a su equipo en Vigo, Galicia. El candidato ideal tendrá experiencia en visión por computadora y aprendizaje automático, así como un enfoque autónomo y orientado a objetivos. Ofrecemos un entorno laboral flexible, formación continua, y un paquete salarial atractivo, que incluye beneficios como seguro médico privado y días adicionales de vacaciones.

Servicios

Formación y sesiones de transferencia de conocimiento
Actividades y construcción de equipo
Entorno de trabajo casual y amigable
Horas de trabajo flexibles
Bonos y paquete salarial atractivo
Seguro médico privado
Membresía a Bookster
Snacks saludables en la oficina
Descuento en membresía de gimnasio
Trabajo en un equipo internacional
Apoyo para exámenes y certificaciones

Formación

  • Experience with large datasets.
  • Hands-on experience with Tensorflow or PyTorch.
  • Ability to independently carry a task to completion.

Responsabilidades

  • Study and apply classical computer vision and optimization algorithms.
  • Create reliable and efficient Machine Learning models.
  • Devise methods for building relevant datasets.

Conocimientos

Classical Computer Vision
Machine Learning
Data-driven conclusions
Python programming
Java programming
Tensorflow
PyTorch

Educación

PhD in a STEM field
3 years of experience in a research position
Descripción del empleo

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

Si desea saber un poco más sobre esta oportunidad, o está considerando presentar su candidatura, por favor, lea la siguiente información del puesto.

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!

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