Computer Vision Machine Learning Scientist

BlinkAI is building transformative technologies for the next generation of smart imaging devices, a spinoff from MIT and Harvard. Our team members have been at the core of developing breakthrough artificial intelligence research for imaging applications .


We are currently seeking a Machine Learning Scientist specializing in computer vision and perception. In this role, you will work on developing machine learning algorithms and systems to improve object detection, segmentation, and other high-level perception tasks. You will develop end-to-end solutions including algorithm design, implementation, quality evaluation, performance optimization, and system deployment. You will work with researchers, software engineers, and hardware engineers to push the performance of embedded computer vision systems, build new features, and develop architectures for the future products. You will earn a competitive salary and enjoy the availability of medical benefits and a stock option plan.



  • Develop deep learning methods for high-level perception tasks.

  • Optimize and integrate solutions into BlinkAI products.

  • Collaborate on hardware for deploying systems on embedded imaging devices.

Minimum qualifications

  • Electrical Engineering, Computer Science, or related background (BS, MS, or PhD).

  • Experience with Tensorflow, PyTorch, or Caffe.

  • Experience with object detection methods such as YOLO, SSD, and Faster-RCNN.

  • Experience with one or more general purpose programming languages including but not limited to: Python, Java, C/C++, C#,JavaScript.

  • Excellent communication skills.

Preferred qualifications

  • Experience leading software engineering teams, or 4+ years of software engineering experience.

  • Experience with deep learning image segmentation methods.

  • Experience with neural network compression techniques.

  • Experience in computational photography algorithms or ISP systems.

  • Experience in CUDA GPU or Halide programming.


If you are interested in the position (location: Boston) please contact