About the Role
We are an AI Platform that delivers tailored AI-enabled solutions for the AEC industry with ease and speed, at a fraction of the cost of bespoke ones. Our platform leverages advanced AI to enable construction domain experts to create complex use cases efficiently.
Tasks
We are looking for full-time interns (for min. 6 months) to solve some cutting-edge computer vision and deep learning problems and be a part of our product development.
The successful candidate will -
Extract and pre-process visual data from different data sources
Implement metrics to evaluate and compare the performance of different approaches
Discuss the task with customer-facing members to understand the problem and its constraints
Proactively experiment with, and implement ML solutions to the problem
Collaborate with ML engineers on model design, experiments, implementation, etc.
Integrate the solutions to a common codebase and demonstrate good software engineering practices
Communicate results and analysis regularly
Requirements
Pursuing (or completed) a PhD / Master's degree in Computer Science in a German or EU university
Experience with training, and evaluating Deep Learning models in PyTorch and specifically, CNNs or ViTs
Proficient in Python
Experimentation mindset to improve performance on the method with fast iterations
Good software engineering skills
Good communication and interpersonal skills
Ability to work in a team-oriented environment
Strong problem-solving skills
Fluent in English
Eligible to work in Germany
Preferred experience:
Trained models for one of these tasks - Object Detection, Instance Segmentation, Scene Graph generation
Worked with Large Vision-Language models
Worked with Autonomous Driving data
Extensive experience fine-tuning Deep Neural Networks on small, domain-specific custom datasets
Knowledge of domain adaptation techniques
Benefits
You will be a part of an inclusive start-up culture in a stimulating "work hard, play hard" environment. You will work with (and party with) great colleagues with diverse backgrounds. Team events and after-work activities are frequent at CONXAI. You will be empowered to bring new perspectives and create impact.
Tech Stack
Computer VisionDeep LearningPyTorchCNNsViTsPythonSoftware Engineering