Research Engineer II

Responsibilities

• Design, implement, test, and document new features for 3D Computer Vision and machine learning-based systems.
• Develop algorithms for 3D reconstruction, optimization, and rendering using point clouds, meshes, NeRFs, and Gaussian Splatting.
• Conduct experiments to improve model performance, scalability, and accuracy.
• Assist in deploying models and pipelines on AWS for distributed training and large-scale applications.

Requirements

• Strong problem-solving and analytical skills, with the ability to handle complex challenges.
• Excellent written and verbal communication skills for technical documentation and collaboration.

Qualifications

• BSc/MSc/PhD in Computer Vision, Computer Science, or related fields.
• Solid knowledge of machine learning, deep learning, and computer vision principles.
• Proficiency in Python and PyTorch, with experience implementing complex neural networks.
• Experience training, deploying, and running models with AWS or other cloud platforms.
• Prior experience with NeRFs, 3DGS, or similar neural rendering technologies.
• Familiarity with 3D reconstruction techniques such as Multi-View Geometry, SfM, and SLAM.
• Experience working with aerial/satellite imagery, photogrammetry, or geospatial datasets.
• Experience with Docker and containerized application development.
• Experience in agile software development methodologies.

Skills

• Neural Rendering Technologies
• 3D Reconstruction Techniques
• Aerial/Satellite Imagery
• Photogrammetry
• Geospatial Datasets
• Docker
• Agile Software Development Methodologies

Benefits

• Salary Range: $90,000 - $115,000
• 10% Bonus Potential

Pay

• $90,000 - $115,000

Schedule

• Full-time Remote