Computer Vision & Machine Learning Engineer (New York, US)

Park Assist

Park Assist makes parking garages simpler to navigate, safer, and greener. Our patented technology helps customers effortlessly find parking spaces, minimizing driving time and reducing carbon emissions. Parking operators use our tools to improve customer satisfaction, create new revenue opportunities, and enhance garage security. Over the past decade, we’ve become the industry’s technology leader with installations spanning 28 countries and counting.

Park Assist is part of the TKH Group (Euronext: TWEKA), a $1.6 billion publicly traded company headquartered in the Netherlands.

The Team

Our Love for Engineering Drives Our Vision for “Really Smart Parking.”

We geek out together on interesting problems, and they come in all forms: short-term, firefighting, and long-term vision. Working at a fast-growth company, we, in-turn, are a dynamic, entrepreneurial group of engineers. Do you have an idea? You’re empowered to put it out there for the team to vet. You could see it come to fruition tomorrow. We aim to fail fast, learn from it, and get the best solutions for our customers as a result. Our camaraderie and mutual respect keep it all fun. Some team members are housed in NYC. Others are distributed through the Americas. We value being able to move between projects for new challenges.

The Role

  • Design models for achieving specific imaging goals
  • Perform model training / algorithm development and optimization
  • Optimize and compromise for speed, size or accuracy
  • Select or develop algorithms for performing various computer vision related tasks
  • Build or modify software and tools for implementing your algorithms and models on a variety of hardware platforms
  • Work with a team of software and hardware engineers to productize your development

Work with product teams to:

  • help convey your analytics features in a compelling fashion
  • understand customer feedback and define new iterations of our features
  • define the next big thing(s) on the roadmap
  • Present and discuss your work with other partners in the business


  • Value creativity, initiative, clarity and rigor
  • Believe diversity of thought improves our outcomes
  • Speak up and take initiative
  • Have experience working with, modeling and understanding large and complex datasets
  • Have worked on large, pre-existing production code bases

Skills And Requirements

  • Experience in writing software in company, startup, or other industrial framework
  • Experience with deep learning frameworks
  • Experience with OpenCV, Random forest
  • Familiarity with the latest techniques in computer vision
  • Deep knowledge of more than one of the following approaches: CNNs and deep learning, SVM, Bayesian Networks, boosting, feature based detection (SIFT/SURF family), object tracking, video analytics
  • Fluency in C++, Python
  • Ability to both work independently and collaborate in a SCRUM-like environment
  • Participate in code reviews
  • Champion continuous integration, automated testing, documentation, and large and rich ground-truth sets

Park Assist is an EEO Employer

Park Assist is a global leader committed to innovating in the parking industry.
Our dedicated team of employees worldwide is passionate about providing clients with an unmatched experience while helping to solve critical issues impacting infrastructure, traffic congestion, overall facility customer experience and operational challenges. Our innovative set of products and services, combined with deep market knowledge and expertise, helps customers gain control of their parking operations and add new streams of revenue. Our world’s only patented camera based intelligent parking guidance system allows our clients to keep a finger on the pulse of the behaviors, preferences and usage patterns across their parking facility.

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