WHAT WE ARE LOOKING FOR
Professional experience developing computer vision solutions for real-world applications
Proficiency in Python and C++, and key frameworks such as OpenCV and Pytorch
Strongly familiar with foundational AI models for computer vision, especially Object Detection, Semantic/Instance Segmentation and Splats
Hands-on experience training AI models with custom datasets
Structure-from-Motion, 3D Reconstruction and Photogrammetry
Pointcloud and Mesh Processing
Familiarity with Geospatial Data and Visual-Inertial SLAM
Functional knowledge of Microservice architecture, APIs and NoSQL
Experience deploying applications on cloud platforms
BS in Computer Science, Engineering, Math or relatable technical field preferred
EST working hours as this role would collaborate with our UK team
WHO YOU ARE
Self-starter
Resilient
Accountable
Optimist
Has a desire to innovate and find solutions
WHY WORK FOR US
Relentless collaboration with your team and colleagues
People first ethos
Flexible PTO
100% remote
Medical, Dental, Vision and Life Insurance coverage
WHO WE ARE
Scanifly is a mission-driven company driving the clean energy transition through the cutting edge technologies of reality capture 3D modeling, cloud computing and AI. Our platform empowers contractors globally to sell, survey, engineer, install and operate home electrification projects with greater accuracy, efficiency and worker safety. We are motivated by the opportunity to transform how energy projects are developed, by the larger impact this will have on the environment, and in support of a more resilient and independent energy system. We are looking for individuals who thrive in a fast-paced environment, approach their craft with passion, proactiveness, and a team-first attitude. Let’s build something that matters!
Scanifly is an equal opportunity employer. We expect all employees to maintain an inclusive environment, free from discrimination and harassment. We expect all employees to lead with empathy, respect and kindness. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status.
