Research Engineer II

Eagleview

Locations: Rochester, New YorkCategories: EngineeringJob Type: Regular Full-TimeWork Type: RemoteReq ID: 2869

## Job DescriptionAbout Us

Eagleview is a leading provider of aerial imagery, property insights and software that transforms the way people work. Eagleview holds more than 300 patents and owns a large geospatial data and imagery library encompassing 94 percent of the US population. Eagleview provides the most accurate data, enabling customers in the government, construction, solar and insurance industries to make timely, informed and better decisions.

Overview

The Research Engineer II in the Strategic R&D department plays a key role in exploring, developing, and transitioning cutting-edge technologies from research concepts to scalable products. This is an exciting opportunity to work on cutting-edge applications, leveraging the latest advancements in 3D computer vision and machine learning. You will collaborate with a dynamic, talented team to build scalable, secure, and high-performance solutions while contributing to the growth of groundbreaking technologies.This is a full-time remote role 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.Preferred Experience:
• 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.

The successful candidate will demonstrate strength in the following competencies, as well as foundational competencies, which can be found here:

• Drive & Follow Through Takes initiative and turns ideas into action.
• Adaptability in Uncertainty Adjusts 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.
• Results Accountability Owns outcomes and delivers on commitments.
• Work Prioritization & Execution Focuses on priorities and delivers on time.
• EEO Statement

This job description is not an exclusive or exhaustive list of all job functions that a workforce member in this position may be asked to perform. Duties and responsibilities can be changed, expanded, reduced, or delegated by management to meet the business needs of the company.The compensation offered to the successful candidate will be based on a variety of factors, including but not