Senior Staff AI Vision Engineer — 3D Perception Lead

AeroVect Technologies Inc.

Greater London

Presencial

GBP 110.000 - 150.000

Jornada completa

Hace 3 días
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Descripción de la vacante

AeroVect Technologies Inc. is seeking a seasoned architect to lead the development of 2D/3D object detection models in a multi-modal setting (camera, LiDAR, Radar).

You will design pipelines for data collection, evaluation, and deployment, and shape the roadmap for the perception system. Ideal candidates hold a Master’s or PhD in a relevant field with 7+ years of experience, and demonstrate leadership in cross-functional projects within autonomous aviation tech.

Formación

  • Master's or PhD in Computer Science, Robotics, Deep Learning, or a related field.
  • 7+ years of focused experience in architecting and deploying 2D/3D object detection models.
  • Worked on entire perception stack (sensing, preprocessing, detection & tracking).
  • Python proficiency.
  • The ability to identify gaps and lead cross functional projects.

Responsabilidades

  • Architect 3D object detection models, including multi-modal approaches (camera, LiDAR, Radar).
  • Build and maintain data collection and evaluation (metrics) pipeline.
  • Develop a proprietary multi-modal dataset for training and evaluation.
  • Train, deploy and monitor 2D/3D object detection models to production.
  • Build and execute a roadmap for the perception system.
  • Mentor junior engineers about best practices.

Conocimientos

2D/3D object detection
Python proficiency
Cross-functional collaboration

Educación

Master's or PhD in Computer Science/Robotics/Deep Learning

Descripción del empleo

AeroVect Technologies Inc. is seeking a seasoned architect to lead the development of 2D/3D object detection models in a multi-modal setting (camera, LiDAR, Radar).

You will design pipelines for data collection, evaluation, and deployment, and shape the roadmap for the perception system. Ideal candidates hold a Master’s or PhD in a relevant field with 7+ years of experience, and demonstrate leadership in cross-functional projects within autonomous aviation tech.

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