Senior Machine Learning R&D Engineer

What you'll do

• Research, design, and train large-scale foundational models for 3D reconstruction and generative scene completion.
• Advance state-of-the-art neural rendering techniques like Gaussian splatting and NeRFs for indoor and outdoor spaces.
• Develop generative models to fill occlusions, synthesize unobserved viewpoints, and enhance the realism of digital twins.
• Design and optimize scalable training and inference pipelines for large 3D datasets including images, video, point clouds, and meshes.
• Translate research prototypes into production-ready systems integrated into the core capture and reconstruction platform.
• Establish rigorous evaluation methodologies and benchmarks for reconstruction quality and generative plausibility.
• Contribute to the architectural design and strategic roadmap of the company's foundational reconstruction models.
• Generate intellectual property through patents and publications while representing the company’s work to the research community.

What we're looking for

• Bachelor's degree from an accredited, not-for-profit, in-person university or college.
• Experience in machine learning research and development focused on computer vision, 3D data processing, neural rendering, or generative modeling.
• Proficiency in PyTorch and strong programming skills in Python.
• Solid understanding of deep learning architectures, optimization techniques, and evaluation methodologies.
• Experience with data manipulation and analysis libraries such as NumPy and Pandas.
• Demonstrated ability to conduct independent research and implement novel solutions for complex, real-world datasets.
• Master's or Ph.D. degree in a related quantitative field (preferred).
• 5+ years of industry experience in applied ML R&D, specifically training and shipping large models to production (preferred).