Research Engineer II
Eagleview · United States · Yesterday
RemoteRemoteScienceFull-time
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