Sr. Algorithm Engineer

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

Key Technologies:
Python, Machine Learning, Deep Learning, Computer Vision.

Key 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

● 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 3 years of experience in computer vision and/or deep learning for object detection
and tracking along with semantic or instance segmentation either in academic or industrial
● 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, opencv as well as ML
frameworks like PyTorch, Tensorflow, Keras
● Experience in different model optimization techniques for deploying on low-end edge
● 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

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

Apply to Sr. Algorithm Engineer

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