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Graphic Design Office


What binds the people of Starkenn together, is our love for all things innovation, technology for good and the urge to stand out from the crowd. We are a collective of highly driven individuals with industry knowledge that aim for nothing less than the sky, but again, the sky is not our limit!





5-7 Years

Job Profile

We are seeking a competent Deep Learning Engineer for our early stage start-up in Automotive technology space to design, develop and integrate computer vision algorithms for our rider safety product. Computer Vision algorithms play a pivotal role in capturing high-

end images of surroundings and mapping them accurately to produce effective alerts for the driver.

About Your Role

  • Develop state of the art CNN based computer vision object detectors and classifiers to detect road objects in real time

  • Design and develop data ingestion, annotation and model training pipelines to handle Tera/Peta bytes of video data and images

  • Build model visualizations, perform hyperparameter tuning and take data driven decisions to improve model performance

  • Optimize models for inference times and run on low power embedded IoT ARM CPUs

  • Build CI/CD tests for evaluating hundreds of models on the test set

Desired Candidate Profile

  • BS or MS in Computer Science, Engineering from premiere educational institutes

  • Experience in building Deep Learning based object detectors for Computer Vision Applications

  • Very good understanding of most popular CNN architectures like AlexNet, Google Lenet, MobileNet, Darknet, YOLO, SSD, Resnet

  • Hands on experience in libraries and frameworks like Caffe, Tensorflow, Keras,

  • PyTorch, OpenCV, ARM Compute Library, OpenCL

  • Good understanding of Transfer Learning, and training models with limited data

  • Strong programming skills in Modern C++14 or above, Python with good grasp on data structures and algorithms

  • Good understanding of working with small embedded computers, hardware peripherals

  • Basic knowledge of Docker Containers and Linux flavoured operating systems

Stand out from the crowd

  • Prior product development experience of working with an early stage startup

  • Production grade experience of deploying scalable ML models for Android/IOS

  • Notable Open Source contributions or coding Hackathon titles

  • Love for Raspberry Pi and ARM CPUs

  • Keen interest in Autonomous Driving

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