The future of work is increasingly complex — remote workers, distributed teams, flexible multi-tenant office space — and the dynamic of how workers interact with each other and how workers interact with their physical space is changing.
VergeSense is building an easy-to-deploy space utilization & sensing platform that helps real estate professionals monitor foot-traffic within buildings. Data from our platform is used to improve building layout & design, execute dynamic workforce strategies, and reduce energy costs. For large clients, the financial impact is in the tens of millions per year. We provide a full-stack solution comprised of easy-to-deploy AI-sensors, fleet management tools, analytics software, and APIs that integrate with the leading workplace management systems on the market.
We are in unprecedented times, and workplace tech is especially needed to help companies plan for a post-COVID workplace. Our AI-powered sensing products and platform are being called on more than ever to serve commercial real estate operators and employees of the modern workforce. We have been at the center of space planning conversations focused on helping companies comply with public health guidelines of social distancing, sanitation, among other applications. As companies plan the return to work for their teams, we are working with speed, accuracy, and care to deliver a crucial service in this transitional time.
Deployed in minutes, our high-accuracy quick-installation sensors are able to identify the presence of people and key objects in the context of an office environment that signal how space is being used. Our analytics platform creates a sphere of intelligence within properties and provides actionable insights and AI-powered recommendations to help building managers make effective space planning decisions.
We’re building and training our sensors to become even smarter, with the goal of catering to an even wider range of customers, use cases, and industries. Our sensor-as-a-system and intuitive analytics dashboard provide a real-time view into what is happening in a space, and over time our sensors automatically learn to detect new types of events on the go.
We are a lean, fast-moving, impact-focused (and fun!) team of 60+ across San Francisco HQ, Minneapolis, Boston, and remote locations. We count the Fortune 500 among our customers and are backed by leading investors including Y Combinator, Allegion Ventures, JLL, Bolt, Pathbreaker Ventures, with strong financial runway. We're always looking to add amazing individuals to our team.
We believe in allowing people to apply their strengths toward doing work they find meaningful. We value creativity and resourcefulness in team members, and would love to hear where you believe your contributions would be most impactful.
The workplace is undergoing a complete transformation. Today with the rise in hybrid working and expectation of employee personal choice, use of the workplace has become completely unpredictable. In order for workplace and real estate leaders to effectively manage space and serve today's employees, they need to fully understand physical space and how people are using it in real-time. This ability is called spatial intelligence, and VergeSense is the leader in providing these insights, which lead to reduced real estate costs, improved employee retention, and better sustainability.
VergeSense is the leading workplace analytics platform used by innovative Fortune 500 companies across the world. These businesses use VergeSense to transform their static office into a dynamic workplace that matches today's employee needs and expectations. Powered by intelligent sensors and AI-driven insights, customers rely on VergeSense to reduce or reinvest real estate, improve building operations, and create spaces that meet today's employee expectations.
The Role VergeSense is looking for computer vision experts to join our embedded development team. You will be leading a team of computer vision engineers to bring VergeSense edge computing to the next level. This is a unique opportunity to join a newly created team and make an impact on our core technologies. What You'll Do Drive the development and training of our embedded computer vision models. Lead a computer vision focused team and mentor team members in their day to day tasks. Build processes and methodologies to guaranty the best real life performances. Build and develop performant, maintainable, and scalable computer vision/machine learning pipeline for model training and evaluation processes. Build and maintain high quality datasets for model training. Work with our firmware team to adapt your models to embedded system platforms. Work with our product team to narrow down requirements. Work with our quality team to understand the customer pain points and help bring resolution to the issues. What You'll Need 7+ years of experience in systems using machine learning based computer vision and other artificial intelligence techniques. 5+ industry experience working with developers on industry products. Experience as a team lead. Experience working on power limited systems (embedded platforms). Working knowledge of C/C++ and python. Solid understanding Computer Science fundamentals in data structures, algorithms, and system design. Understanding of state-of-the-art Machine Learning techniques, Deep Learning, and Computer Vision. Hands-on experience with common machine learning frameworks and libraries – Keras, TensorFlow, Scikit-learn, Pandas, Numpy, OpenCV. Excellent interpersonal, communication and presentation skills, both written and verbal. Ability to collaborate effectively across teams and communicate complex ideas in a simple manner. Ability to stay commercially focused and to always push for quantifiable commercial impact. Ability to work both independently on ambiguous problems and in highly collaborative team environments. Nice To Have Experience as a software or firmware developer. Experience working on IoT devices. Participated in Kaggle contests. Benefits
• A high-impact role in an emerging industry leader • Competitive compensation and equity • Employer-sponsored medical, dental and vision insurance • Open Vacation policy: take time off when you need it
We value people from all walks of life who exhibit kindness, curiosity, discipline, humility, and passion to excel at what they do. If you would like to contribute to our team, we encourage you to apply.
On the software-side, our current stack uses Rails, React, Heroku, a variety of AWS Services (AWS IoT, Redshift, DynamoDB), Docker (for managing fleets of IoT devices) and Tensorflow for machine-learning.
For the hardware-side piece of our product, we're using ESP MCUs, gateway devices that run Ubuntu Core, Raspberry Pis (for prototyping), and a variety of different sensors (image, PIR, temperature / environmental, etc).