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Computer Vision Engineer

Trunk Tools

Trunk Tools

Software Engineering
Austin, TX, USA · New York, NY, USA · Remote
Posted on Dec 17, 2024

At Trunk Tools, we are tackling the massive $13 trillion+ construction industry. We’re an exceptional team of serial entrepreneurs, brought together by our shared mission: automating construction. Our founding team (SpaceX, Stanford, MIT, Carta, etc.) has successfully built and deployed software in construction for 140k+ users, millions of users beyond the construction space, and worked on +$2 billion of built-environment projects. We aren’t another out-of-touch tech startup, most of our team comes from construction.

We spent the last few years building the brain behind construction. Now we are deploying workflows/ agents, starting with Q&A document chatbot, to be ingrained in construction teams’ workflows, ultimately to automate construction. Given our immense traction with several Fortune 500 construction companies, we are doubling our team in order to deploy several more agents this year. You will have an opportunity to drive the transformation of a multi-trillion-dollar industry full of waste, risks and inefficiencies.

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

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.