Description

Job Description

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.

EagleView, the leader in aerial imagery, is hiring a Technical Product Management Intern in computer vision and machine learning to join its innovative team in the Technical Product Management department. This is an exciting opportunity to work on identifying cutting- edge platform requirements, leveraging the latest advancements in 3D computer vision and machine learning. You will collaborate with a dynamic, talented team and provide them documented requirements to build scalable, secure, and high-performance solutions while contributing to the growth of groundbreaking technologies.

• Understands the platform vision and effectively researches on domain opportunities for platform capabilities that will lay the foundation for new and enhanced go-to-market business opportunities
• Creates gap and opportunity analysis for owned areas in domain.
• Collaborate with stakeholders including Product Managers, Solution Architects, Subject Matter Experts and Engineering teams to create a feature backlog
• Ensures prioritization and scope to maximize our software development investment
• Clarifies engineering team questions arising from feature backlog.
• Manage and prioritize backlog in alignment with the roadmap engaging the stakeholders for priority related questions
• Own feature acceptance readiness and engage with the users to validate delivered features.
• Contribute to live and recorded feature demos for stakeholders.
• Prepares pre and post analysis for features completed.

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Vision,
Machine Learning, or a related field.
• Solid understanding of machine learning and computer vision fundamentals.
• Proficiency in Python, with some experience using PyTorch.
• Familiarity with AWS and tools used in ML deployment workflows.
• Strong problem-solving skills and attention to detail.
• Clear and effective written and verbal communication skills for teamwork and documentation.

Preferred Experience:
• Exposure to neural rendering techniques such as NeRFs, Gaussian Splatting, or similar methods.
• Understanding of 3D rendering optimization for real-time or interactive applications.
• Familiarity with 3D reconstruction concepts such as SfM, Multi-View Geometry, or SLAM.
• Basic experience with cloud-based ML workflows or scalable training setups.
• Experience working in agile development environments or collaborative coding practices (e.g., Git, code reviews).

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.

The compensation offered to the successful candidate will be based on a variety of factors, including but not limited to, the candidate's work experience, education and licenses, work-related training, key skills, the core duties of the role and its associated responsibilities, and the location where the work will be performed. This is a full time, remote position with a compensation range of $28.00 to $30.00/hr.

As an Equal Opportunity and E-Verify Employer, EagleView Technologies does not discriminate on the basis of any legally protected status or characteristic. Protected veterans and individuals with disabilities are encouraged to apply. We are committed to giving all applicants equal opportunity to participate in the application process and are open to discussing reasonable accommodations for candidates with disabilities.

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