Position: Algorithms Engineer
Company: YaelAcceptic
Experience required: 3y
English level: intermediate

You will become a part of a highly professional team working in the field of smart sensors and IoT for the futuristic public smart spaces.
The task at hand is to establish a pipeline for continuous design, training and evaluation of new models for people/object detection and tracking and further deployment of these models to the edge device.

Technologies:
Python, Machine Learning, Deep Learning.Computer Vision.

Responsibilities:
- Developing and maintaining Machine Learning / Deep Learning models and integrating them with classic Computer Vision methodologies;
- Data crunching and analyzing of large datasets, to produce insights for both algorithmic advancements and product development;
- Work with data engineers to scope the data sets and annotation needed;
- Optimize ML/DL models for low-end devices.

Requirements:
- At least 3 years of experience in Сomputer Vision and/or Deep Learning for object detection and tracking along with semantic or instance segmentation either in academic or industrial domain;
- Proficiency with edge computing principles and architecture preferably for NVIDIA Jetson devices and Raspberry Pi;
- Proficiency in Python and related packages like Numpy, Scikit-learn, OpenVC as well as ML frameworks like PyTorch, Tensorflow, Keras;
- Experience in different model optimization techniques for deploying on low-end edge devices;
- Exposure to IoT technology;
- Excellent written and verbal communication skills for effectively communicating with the team and ability to presenting information to varied technical and non-technical audience;
- BS.c. or MS.c. in Computer Science, Data Science, Machine Learning or in related fields preferred with strong technical knowledge and experience in Computer Vision;
- At least Intermediate level of English.

Would be a plus:
- Experience with C++ and system-level engineering;
- Experience with classical computer-vision;
- Experience in real-time/embedded systems or performance optimization;
- Interest in patents and research papers.

We offer:
Professional Development: free English courses, access to company’s library, free access to the corporate Udemy account, possibility to participate and share your knowledge as a speaker in our internal meetups.

Benefits: 100% paid vacation and sick leaves, health insurance, free accountant services.