Senior 3D Geometric ML Engineer / Research Engineer

Experience
3+ years of industry experience in Machine Learning, 3D Vision, Geometric AI, Computer Graphics, Robotics, or related domains 
PhD in Computer Science, Machine Learning, Robotics, Graphics, Applied Mathematics, or related field preferred 
M.S. candidates with strong industry experience
Proven experience shipping ML systems into production environments 

3D / Geometric ML
Strong practical experience with several of the following:
Geometric deep learning 
Point cloud processing and large-scale point cloud pipelines 
Mesh representation learning 
3D classification and segmentation 
Point cloud registration and alignment 
Generative models for 3D data 
Multi-view reconstruction 
Multi-modal 3D learning pipelines 

Deep Learning Frameworks
Hands-on experience with:
PyTorch 
PyTorch Geometric 
Open3D and/or VTK 
TensorRT, ONNX, or inference optimization frameworks 
MLflow, Weights & Biases

Infrastructure + Production
Linux
Docker
CUDA optimization and GPU performance debugging 
Distributed training and multi-GPU systems 
Mixed precision
Large-scale data pipelines for 3D datasets 
Production ML deployment pipelines 
Cloud infrastructure on Azure/AWS/GCP 
Kubernetes or scalable orchestration systems 
CI/CD for ML systems 
Model serving and inference optimization 
Monitoring, logging, and production debugging of ML systems

Expected Technical Expertise
PointNet / PointNet++ 
PointTransformer / GeoTransformer 
DGCNN 
Graph Neural Networks (GNNs) 
Transformer-based 3D architectures 
3D data augmentation techniques 
Mesh vs voxel vs point-cloud representations 
Dataset preprocessing and curation 
Training stability and optimization strategies 
Evaluation metrics for 3D ML systems 
Memory/performance tradeoffs in large-scale training 

Ownership Expectations
Lead ML projects end-to-end 
Experience mentoring juniors 
Strong debugging and problem-solving skills 
Ability to translate research into production systems 
Experience collaborating across research and clinical teams 
Strong software engineering and system design fundamentals 

Nice-to-Have
Open-source contributions 
Kaggle or research competition experience 
Publications or workshop papers at leading conferences (CVPR, ICCV, SIGGRAPH, MICCAI, ICLR, …etc)
Domain experience (face scans, intra-oral scans, CBCT data, medical imaging datasets)
Edge or real-time 3D inference systems