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Computer Vision/Machine Learning Engineer

Alcatraz leverages artificial intelligence and analytics to make powerful decisions at the edge, where your face becomes your credential autonomously. Our technology is frictionless, enabling uninterrupted access flow. Built and designed in the United States, the Rock instantly detects unauthorized access giving you complete security at every door, making spaces safer.A Rock continuously monitors the space in front of the door. First it detects people, next it detects faces, finally it detects the intent of a person to pass through the door and authenticates the face of that person. If the person has been enrolled in the system, their badge # is transmitted over Wiegand or OSDP to the ACS. If the person has access, the ACS unlocks the door, usually before the person has made it all the way to the door!  

Product
Our product is a frictionless and secure physical access control platform built with our proprietary full- stack software and hardware. It seamlessly integrates into existing enterprise security infrastructure. Corporations choose us to modernize their infrastructure and deliver a fast, touchless, and secure solution to their employees. We leverage facial detection and recognition, 3D sensing, and artificial intelligence to enable highly secure and frictionless entry into physical locations.
Job description
We are looking for a software engineer with a computer vision/deep learning background. The ideal candidate would be self-motivated, needing little to no supervision, and thriving working on hard, loosely defined problems. Main responsibilities include the development and integration of computer vision algorithms and deep learning models on our edge device. We expect that the candidate will be able to do the integration by themselves into our C++ codebase. Since we’re working in a compute and power constrained environment, all of our algorithms must be optimized to achieve high accuracy during real-time execution on limited resources.. We develop our ML models in Python (with TensorFlow, PyTorch, etc.), but they need to be designed in such a fashion as to allow conversion for platform-specific inference libraries and good performance on the platform-specific accelerators. Additional responsibilities might include tasks related to classical computer vision, e.g. processing of frames, camera calibration, distortion correction, etc.
Requirements:
- Bachelor or above in a STEM field (or equivalent work experience)
- 3+ years professional experience in C++
- Knowledge in Python (professional experience is highly desirable)
- Experience in classical and/or deep learning based computer vision (professional experience is highly desirable)
- Proven familiarity with deep learning frameworks (ideally though professional experience, but quality --personal projects or certificates are also welcomed)
- English proficiency.
- Highly desirable
- Experience with OpenCV
- Experience in a UNIX-like environment.
Nice to have:
- DL models optimization
- Experience with inference libraries, especially TensorRT
- What you'll get from us
- An engineering culture that gives you space to work with autonomy and write excellent code.
- A remarkably talented and supportive team of peers to help you grow as an engineer.
- An office designed to allow you to create your best work.
- Benefits & Perks
- Competitive pay and equity
- Flexible hours
- Unlimited paid vacation
- Fully-stocked kitchen
- Team offsites
- Premium medical, dental and vision insurance
- Site bonus that provides reimbursement on recurring expenses
- Co-financed Multisport card
Please send your resume

За обявата

June 10th, 2022

София

Административни, Офис и Бизнес дейности