Computer Vision Engineer

At Trunk Tools, we’re the leading AI company revolutionizing construction—the second-largest industry on earth. With deep traction among Fortune 500 general contractors, we have raised $30M from top investors including Redpoint and Innovation Endeavors.

Our mission is to build the future of construction through intelligent automation. Construction is a $13+ trillion industry still operating primarily in analog—and we’re changing that by embedding AI directly into the jobsite.

Founded by builders and technologists (Stanford, MIT), our experienced team has delivered software used by 140,000+ field professionals, impacting millions of users and contributing to $10B+ in built projects. We're deeply rooted in construction, with many of our team coming from the field.

After years of developing the “brain” of construction, we are now deploying AI agents and workflows to automate critical tasks—beginning with intelligent document processing, Q&A capabilities and rapidly expanding across operational processes. We currently have 50+ employees, including 20 engineers, and have doubled our size in the last 12 months. We’re continuing to grow rapidly as we launch and scale multiple AI agents this year.

What you will do and achieve:

• Enhance our capabilities to understand and extract information from images in the construction domain, such as blueprints, schematics and site photos

• Develop and deploy computer vision models, including image classification, object detection, and segmentation

• Build and optimize pipelines for integrating vision models into existing workflows

• Design efficient labeling processes to acquire proprietary datasets, for training proprietary algorithms

• Process and analyze a diverse set of documents beyond images, including text and tables

• Design and conduct experiments to evaluate and improve model performance and robustness

Who you are:

• MS/PhD in Computer Science, Computer Vision, Robotics or a related field

• 5+ years of experience in computer vision, with a focus on building production-ready systems

• Proficiency in Python, ML and experience with deep learning frameworks such as PyTorch or TensorFlow, and computer vision libraries like OpenCV

• Strong experience with image processing, feature extraction, and visual data analysis

• Experience with visual transformers and their applications in computer vision tasks

• Familiarity with LLM-based applications and RAG systems in real-world scenarios

• Interest in the construction industry

• Bonus: Experience with multi-model LLMs or embedding models

• Bonus: Experience with processing construction-specific visual data, such as blueprints or site images

What we offer 😎

• 🎖️ A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters

• 💰 Competitive salary and stock option equity packages

• 🏥  3 Medical Plans to choose from including 100% covered option. Plus Dental and Vision Insurance!

• 🤓 Learning & Growth stipend 

• 🏠 Flexible long-term work options (remote and hybrid)

• 🥨 Free lunch provided in the office in NYC and Austin - you’ll never go hungry with us! 

• 🛫 Unlimited PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation

• 🏝 IRL / In-Person retreats throughout the year

Please note: All official communication from Trunk Tools will come from an email address ending in @trunk.tools. If you receive outreach from any other domain, please disregard it or report it to us.

We realize applying for jobs can feel daunting at times. We don’t expect you to check all the qualification boxes and encourage you to apply if you have experience in some of the areas.

At Trunk Tools, we’re working hard to build a more productive and safer environment within the construction industry, and we strive to live by these same values here at Trunk Tools HQ. As an equal-opportunity employer, we are committed to building an inclusive environment where you can be you. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, or any other legally protected class. 

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