Senior Machine Learning Engineer, Parallel Domain

• Advanced degree: MS or PhD in ML, computer vision, robotics, or related field
• Relevant experience: Industry experience applying ML to computer vision problems, with emphasis on pose or multiview geometry
• Technical proficiency: Strong Python experience and production-level code development
• Foundational knowledge: Deep understanding of 3D geometry, linear algebra, and optimization
• If you're passionate about machine learning, 3D reconstruction, generative AI, and the future of autonomous systems, we'd love to hear from you. Apply today and help us revolutionize the world of AI!

Desirable

• We are looking for a Senior Machine Learning Engineer focused on pose estimation and structure-from-motion (SfM) to improve the backbone of Replica’s geometric reconstruction pipelines
• You will develop and integrate ML-based and classical approaches for robust camera pose estimation and scalable multiview geometry systems
• Build robust SfM and pose pipelines: Improve accuracy, speed, and reliability of pose estimation components
• Develop geometric vision models: Design and implement learned modules for camera calibration and pose refinement
• Integrate ML and classical methods: Combine geometric algorithms with modern ML tools for practical performance
• Collaborate on data and evaluation: Partner with ML engineers to curate datasets and define metrics for success