🛠 Tech Stack

💼 About This Role

You'll design and maintain cutting-edge 3D and multimodal ML models for construction site understanding using point clouds and RGBD data, collaborating with autonomy and product teams to integrate them into production. Your work directly enables automated progress tracking and deviation analysis in real field deployments.

🎯 What You'll Do

• Design scalable ML pipelines for 3D point cloud analysis and segmentation.
• Train and deploy deep learning models using PyTorch on cloud platforms.
• Collaborate with software engineers to integrate models into production.
• Analyze multimodal sensor inputs including LiDAR, RGBD, and BIM.
• Work with data teams to define annotation strategies for model performance.

📋 Requirements

• 2+ years industry experience deploying ML for 3D point clouds or perception.
• Strong background in deep learning for point clouds or geometric learning.
• Expertise in Python and PyTorch or TensorFlow.
• Experience with cloud infrastructure (AWS, SageMaker) for ML deployment.

✨ Nice to Have

• Experience with BIM data or construction sensor data.
• Familiarity with MLOps pipelines (Ray, MLflow, Kubeflow).
• Background in geometric deep learning or neural implicit representations.

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Health, dental, and vision insurance
• 📈 Equity grants
• 💻 Remote-friendly hybrid schedule
• 🚀 Work on real robots and field deployments