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Computer Vision Data Research Scientist – Motion Gestures

Who is Motion Gestures?

 

Based out of Kitchener, Motion Gestures is a breakthrough gesture recognition platform engaged in product marketing around the world.

 

 

The Machine Learning startup specializes in cutting-edge gesture recognition software for use with motion, touch, and vision sensors on cloud, gateway, and embedded platforms. Their software incorporates industry-first innovations such as the elimination of software coding, automatic generation of training data, and gesture compatibility with different sensors.

 

 

Motion Gestures has been recognized as one of the top startups in Canada, is prominently featured in international press, has strategic partnerships with top-tier firms in major industries, and is gearing up for major expansion financing.

How Will I Make An Impact?


You’ll get to work in a fast-paced environment where you will see your work come to life while working alongside brilliant innovators.

As Computer Vision Data Research Scientist you’ll get to develop what you create and build on what has come before you. Performing data collection, data manipulation, data analysis, data visualizations, algorithm development, and other research in machine learning space specifically deep learning for gesture recognition.

 

You will Implement product prototypes and design experiments for evaluation and transition product prototypes into production versions for commercial deployment.

 

How Do I Know If This Is For Me?

 

If you love the fast pace of startups, can take a holistic view of a product, and innovate for a B2B company this opportunity will excite you! With use cases in VR, mobile apps, electronic wearables, home automation, and even military, this platform uses the latest in machine learning technologies.

 

Do I Have What It Takes? 

 

  • M.S. or PhD degree in Computer Science or equivalent industry experience.

  • Deep understanding of Machine Learning and Statistical Modelling, Image Processing, and Computer Vision.

  • Expertise with Deep Learning and associated frameworks such as CNN, RNN, and SSD.

  • Expertise with statistical analysis and machine learning tools, packages and languages such as Tensorflow, opencv.

  • Excellent coding skills in C/C++. Knowledge of a range of other languages and environments such as Python is a plus.

  • Expertise with Git version control.

  • End-to-end model and classifier development experience (ie. collect, develop, test, implement) for various applications.

  • Comfort working with Linux OS, command line, and shell scripts.

  • Excellent problem solving, communication, and team work skills.

  • Demonstrated ability to work and deliver in a high-pressure environment.

  • Strong publication record

  • Embedded Software Engineering experience

  • Experience with different sensors such as Accelerometer, Gyroscope, Proximity, Infrared Camera, and ToF (Time of Flight)

  • Prior work experience at a software start-up

Does this sound exciting to you?
Get in touch with Olivia!