WHO YOU ARE
- Has a desire to innovate and find solutions
- Self-starter
- Resilient
- Accountable
- Optimist
- Proactive communicator, unafraid to ask questions
WHY WORK FOR US
- Relentless collaboration with your team and colleagues
- People first ethos
- Flexible PTO
- 100% remote
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
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.