Applied Computer Vision Research Engineer (Biometrics)

1228 Vision Box - Soluções de Visão por Computador, S.A.; Oeiras; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid working model

Job summary

Amadeus is seeking a Research Engineer to help build the next generation of computer vision and digital identity solutions. You will transform research ideas into production-ready ML technologies powering products like Seamless Travel, within a largely remote team across Lisbon and Porto/Gaia.

As part of the role, you will work through data acquisition, annotation, model training and delivery, collaborating across tools and environments.

Qualifications

• 2-3 years of experience in computer vision in industry or research.
• Strong Python and ML skills with hands-on DL training.
• Flexible, independent and good communicator.
• Nice to have: C#, biometrics experience.

Responsibilities

• Build the future of biometrics: contribute to the applied-research roadmap for face recognition, image quality and anti-spoofing, and help design innovative biometric capture pipelines
• Cover the full research lifecycle: data acquisition, annotation, deep learning model training, experimentation and delivery of research outcomes
• Work across tools and environments: set up and use different machines, ecosystems and infrastructure to keep research moving
• Solve real-world challenges: help resolve complex technical issues, deployment challenges and escalated SDK support requests
• Maintain high standards: promote best practices for security, governance, quality and software lifecycle management
• Innovate and grow: explore novel directions, contribute to patents and publications, and share knowledge with your team

Skills

Python

Machine learning

Deep learning

Computer vision

Communication

Ambiguity handling

Software engineering

C#

Biometrics

Job description

Amadeus is seeking a Research Engineer to help build the next generation of computer vision and digital identity solutions. You will transform research ideas into production-ready ML technologies powering products like Seamless Travel, within a largely remote team across Lisbon and Porto/Gaia.

As part of the role, you will work through data acquisition, annotation, model training and delivery, collaborating across tools and environments.