3D Machine Learning Engineer

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Robotics, or a related technical field.

2+ years of hands-on industry experience developing and deploying machine learning systems for 3D point clouds, perception, or spatial understanding tasks.

Strong background in 3D machine learning, with experience in deep learning for point clouds, multi-view fusion, or geometric learning.

Strong expertise in Python and deep learning frameworks: PyTorch, TensorFlow, or similar.

Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing.

Experience training, evaluating, and deploying ML models using cloud infrastructure (e.g., AWS, SageMaker) and containerized workflows.

Solid understanding of the end-to-end ML lifecycle, including experiment tracking, reproducibility, model versioning, and optimization for production.

Proven ability to work in fast-paced, interdisciplinary teams across software, ML, and product teams.