Computer Vision Engineer

At Trunk Tools, we’re the leading AI company revolutionizing construction—the second-largest industry on earth. We recently raised a $40M Series B led by Insight Partners, bringing our total funding to $70M from top-tier investors including Redpoint and Innovation Endeavors. This new round is fueling our next phase of growth as we scale AI agents across the jobsite.

Our mission is to build the future of construction through intelligent automation. Despite being a $13+ trillion industry, construction still runs largely on analog processes—we’re changing that by embedding AI directly into field operations.

Founded by builders and technologists (Stanford, MIT), our team has delivered software used by over 140,000 field professionals, impacting millions of users and contributing to $10B+ in built projects. Many of us come from the field ourselves, giving us a deep understanding of the industry’s unique challenges.

After years of building the “brain” of construction, we’re now launching production-ready AI agents—starting with intelligent document processing and Q&A, and rapidly expanding into core operational workflows. Our team has doubled in the past year, and with 65+ employees (25+ engineers), we’re scaling fast and entering a period of hypergrowth—this is a rare opportunity to join at an inflection point.

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 & 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.

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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