WHAT WE ARE LOOKING FORProfessional experience developing computer vision solutions for real-world applicationsProficiency 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 SplatsHands-on experience training AI models with custom datasetsStructure-from-Motion, 3D Reconstruction and PhotogrammetryPointcloud and Mesh ProcessingFamiliarity with Geospatial Data and Visual-Inertial SLAMFunctional knowledge of Microservice architecture, APIs and NoSQL Experience deploying applications on cloud platformsBS in Computer Science, Engineering, Math or relatable technical field preferred EST working hours as this role would collaborate with our UK team
WHO YOU ARESelf-starterResilientAccountableOptimistHas a desire to innovate and find solutionsWHY WORK FOR USRelentless collaboration with your team and colleaguesPeople first ethosFlexible PTO100% remote Medical, Dental, Vision and Life Insurance coverageWHO 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.
