Machine Learning Engineer
1 month ago
About Contineu
Contineu is changing the way construction projects are monitored and managed. We're using helmet mounted 360cameras to automatically track and manage construction projects, capturing site details contractors need without manual input. Funded company with paying customers, and a fast-growing product/team.
We're hiring a Machine Learning Engineer to join our company.
You'll create scalable systems and efficient algorithms for 3D reconstruction, segmentation, and depth estimation, integrating them with backend infrastructure handling millions of square feet of construction data.
Key responsibilities
- Develop and fine-tuning ML models for 3D reconstruction, object detection, and point cloud segmentation
- Develop SOTA methods for CAD-to-BIM pipelines.
- Help process large datasets of construction site imagery
- Improve data training and inference pipelines for a large dataset.
- Integrate ML models with backend systems and write production-grade business logic.
- Deploy ML systems on cloud compute servers like AWS.
- Participate in research experiments to improve model accuracy and efficiency
Requirements:
- Minimum 3 years of experience working on production-grade ML systems (preferably at a fast paced startup)
- Strong foundation in machine learning concepts and algorithms
- Strong experience writing production quality Python code in common ML libraries (e.g., TensorFlow, PyTorch)
- Experience with Infrastructure and deployment is a plus.
- Eagerness to learn and apply new technologies in a fast-paced environment
This is an in-person role.
We're funded, growing fast, and actively encourage applications from women, members of the LGBTQ+ community, and individuals from all backgrounds.
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