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Research Engineer II

Role overview

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.

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.

Key facts

Other skills

  • Problem Solving
  • Analytical Skills
  • Communication
  • Collaboration

About the company

SWCA Environmental Consultants logo

SWCA Environmental Consultants

Environmental Services

SWCA is a 100% employee-owned environmental firm that offers comprehensive environmental planning, regulatory compliance, and natural and cultural resources management services. Our expanding team of professionals combines scientific expertise with in-depth knowledge of permitting and compliance protocols to achieve technically sound, cost-effective solutions for a full spectrum of environmental projects throughout the U.S. and its territories.

Company details

Company typeLarge
IndustryEnvironmental Services
Company size1001 - 5000

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Job description

About 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.

Core Competencies:
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 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, additional benefits offered, and the location where the work will be performed. All Fulltime (30+ hours) employees are eligible for PTO, Sick, and Parental Leave; Medical, Dental, and Vision Insurance; 401(k) Plan; Health Savings Account; Life Insurance; Employee Assistance Program; Pet Insurance. This is a full-time remote role with a salary range of $90,000-$115,000 with 10% bonus potential. 

 

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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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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