Computer Vision Engineer

Trunk Tools, Inc.
Summary
Join Trunk Tools, a leading AI company revolutionizing the construction industry, and help build the future of construction through intelligent automation. We are seeking a skilled Computer Vision Engineer to enhance our capabilities in understanding and extracting information from construction-related images. You will develop and deploy computer vision models, build and optimize integration pipelines, design efficient labeling processes, and analyze diverse data types. The ideal candidate possesses an MS/PhD in a related field, 5+ years of experience in computer vision, and proficiency in Python and deep learning frameworks. We offer a competitive salary, stock options, comprehensive health benefits, a learning stipend, flexible work options, unlimited PTO, and in-person retreats.
Requirements
- 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
Responsibilities
- 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
Preferred Qualifications
- Experience with multi-model LLMs or embedding models
- Experience with processing construction-specific visual data, such as blueprints or site images
Benefits
- 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 - youβll 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