A tech company specializing in 3D modeling in Greater London is seeking an experienced individual to architect 3D object detection models. The ideal candidate will have a Master’s or PhD in Computer Science, Robotics, or Deep Learning, and over 5 years of experience in deploying 2D/3D object detection models. Responsibilities include building data evaluation pipelines and mentoring junior engineers. This position offers an engaging role within a pioneering team focusing on state-of-the-art technologies.
Qualifications
5+ years of focused experience in architecting and deploying 2D/3D object detection models.
Worked on entire perception stack (sensing, preprocessing, detection & tracking).
Responsibilities
Architect 3D object detection models, including multi-modal approaches.
Build and maintain data collection and evaluation pipeline.
Train, deploy and monitor 2D/3D object detection models to production.
Skills
Python proficiency
Experience in architecting 2D/3D object detection models
Project leadership
Education
Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field
Job description
You will
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.
Experiment SOTA models’ performance.
Mentor junior engineers about best practices.
You have
Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field.
5+ 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 lead projects autonomously.
We Prefer
PhD in Computer Science, Robotics, or a related discipline.
Publications in major conferences like CVPR, ICRA, NeurIPS, IJCAI, AAAI etc.