Computer Vision Engineer Job at Seek Now, Atlanta, GA

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  • Seek Now
  • Atlanta, GA

Job Description

Why Join Us?

We're a fast-growing, profitable company transforming how computer vision is applied in property technology. By leveraging AI and human expertise we're redefining how property data is captured and used to drive smarter, faster decisions in the field, for operations, and within leadership teams.

As a Computer Vision Engineer at Seek Now, you'll pioneer advanced image recognition and 3D modeling techniques to revolutionize property inspections. Leveraging cutting-edge computer vision, you'll help us move beyond manual assessments toward fully automated, data-driven insights—reshaping the future of property intelligence.

What You'll Do

  • Design & Implement CV Models – Build computer vision systems for object detection, damage assessment, image segmentation, and measurement extraction from aerial, drone, and ground-level imagery.
  • Advance 3D Reconstruction – Develop algorithms to generate accurate 3D models of homes and property structures using images, LiDAR, and multimodal data sources.
  • Innovate in Real-World Applications – Create real-time or near-real-time solutions for mobile and web platforms to power field inspections.
  • Leverage Multimodal Data – Integrate data from RGB imagery, aerial/satellite sources, and LiDAR to produce richer, more reliable insights.
  • Collaborate & Influence – Partner with product, engineering, and insurance experts to translate technical outputs into actionable business decisions.
  • Drive Continuous Improvement – Stay at the forefront of computer vision and machine learning advancements, and apply emerging techniques to enhance accuracy, scalability, and efficiency.

What You Bring

Experience – 5+ years in computer vision, machine learning, or applied AI roles, preferably in real-world inspection, insurance, construction, or geospatial domains.

Education – Bachelor's, Master's, or PhD degree in Computer Science, Electrical Engineering, Mathematics, Physics, or related technical field.

Technical Expertise Deep Learning for 2D image classification, object recognition and semantic/instance segmentation. 

Strong Background in multimodal data fusion (e.g., RGB, aerial imagery, satellite, LiDAR).

Tooling & Language -Proficiency in Python, TensorFlow/PyTorch, OpenCV and strong applied math skills in geometry, linear algebra and optimization. 

Strategic Mindset-Ability to see beyond the algorithm, anticipating business needs and shaping product direction through AI-driven insights. 

Nice to Have

Experience with insurance, property tech or construction tech solutions. 

Familiarity with cloud-based ML deployment pipelines (AWS/GCP/Azure).

Experience building interactive visualization tools for inspection data or 3D reconstructions. 

Why You'll Love It Here

• Ownership & Impact – You'll see your code in production, directly shaping products that matter.
• Fast Growth, Big Opportunities – As we scale, your role and influence will scale too.
• Collaborative Team – Join smart, humble engineers who get things done.
• Autonomy & Flexibility – We trust you to deliver results in the way that works best for you.

Benefits and Perks:

Seek Now offers exceptional compensation and a great benefits package, including health, dental and vision insurance, 401K with company match, paid time off (PTO), short and long-term disability insurance, AD&D insurance, life insurance, and more as it becomes available.

EEO Statement:

Seek Now is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. Seek Now does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Job Tags

Full time, Temporary work, Local area,

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