Eagleview is looking to hire a Research Engineer I to work on cutting-edge applications, leveraging the latest advancements in 3D computer vision and machine learning to build scalable, secure, and high-performance solutions.
Requirements
- Solid knowledge of machine learning, deep learning, and computer vision principles.
- Proficiency in Python and PyTorch, with experience implementing complex neural networks.
- Experience with AWS or other cloud platforms for distributed model training and deployment.
- Prior experience with NeRFs, Gaussian Splatting, or similar neural rendering technologies.
- Understanding of optimization techniques for real-time 3D rendering.
- Hands-on experience with scaling machine learning systems in production environments.
- Familiarity with 3D reconstruction techniques such as Multi-View Geometry, SfM, and SLAM.
Responsibilities
- Design, implement, test, and document new features for neural rendering and machine learning-based systems.
- Develop algorithms for 3D reconstruction, optimization, and rendering using 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.
- Stay updated with the latest research and trends in neural rendering, computer vision, and machine learning.
Other
- BSc/MSc/PhD in Computer Vision, Computer Science, or a related field.
- Strong problem-solving and analytical skills, with the ability to handle complex technical challenges.
- Excellent written and verbal communication skills for technical documentation and collaboration.
- Experience in agile software development methodologies.
