Research Engineer II

Job Description

Eagleview is a leading provider of aerial imagery, property insights, and software. This role is located in Rochester, New York and is a full-time remote position with a salary range of $90,000-$115,000 with 10% bonus potential.

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.
• Stay updated with the latest research and trends in neural rendering, computer vision, and machine learning.

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

Core Competencies

• Drive & Follow Through - Takes initiative and turns ideas into action. Adapts quickly and performs through change.
• Customer-Centered Mindset - Puts customer needs at the center of decisions.
• Judgment & Problem Solving - Makes sound decisions and solves problems effectively.

Role-Specific Expertise

• Applies strong functional expertise to deliver results.
• Owns outcomes and delivers on commitments.
• Focuses on priorities and delivers on time.