Staff Software Engineer, Perception

Methodfi; Greater London; On-site; GBP 60,000 - GBP 80,000; Full time

Job summary

A leading technology firm in the UK is seeking a skilled engineer with a Master's or PhD to architect and deploy multi-modal 3D object detection models. Candidates should have extensive experience in the perception stack and proficiency in Python. This role involves building evaluation pipelines, mentoring junior engineers, and leading projects autonomously. Join us to transform ground handling with innovative technology.

Qualifications

• 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.
• Proficiency in Python.

Responsibilities

• Architect 3D object detection models with multi-modal approaches.
• Build and maintain data collection and evaluation pipeline.
• Train, deploy and monitor 2D/3D object detection models in production.
• Mentor junior engineers about best practices.

Job description

Who We Are

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.

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