Boon is the professional AI platform built specifically for construction. Founded in the San Francisco Bay Area in 2023 by product and engineering leaders from Samsara, Apple, Google and DoorDash. Boon is backed by leading Silicon Valley venture capitalists.
Our AI agents embed directly into existing workflows, from preconstruction estimating to bid management. They automate the repetitive tasks that drain time and margins while surfacing the insights leaders need to make faster and more confident decisions.
The result is measurable impact. Teams move faster, bids are submitted sooner, win rates increase, and costs are reduced. Boon enables construction companies to build more, generate more revenue, and grow with confidence.
As an Applied ML Engineer focused on Computer Vision at Boon, you will build production computer vision systems that transform how construction companies process and understand visual data. This is not a research position—you'll be writing code, deploying models, and owning critical pieces of our ML infrastructure from day one. While you'll receive mentorship from senior engineers, you'll have real ownership over specific components of our vision pipeline and the opportunity to see your work directly impact customers.
Our vision systems tackle diverse challenges across construction: from processing complex engineering plans and construction drawings to understanding technical documents. You'll work on parsing intricate blueprints and architectural diagrams, extracting structured data from multi-page technical specifications, and building intelligent systems that can reason about complex visual information. You'll bring the latest advances in computer vision research into traditional industries that power a significant portion of the global economy.
In this role, you will:Build and deploy computer vision models for complex document understanding, including OCR, edge detection, vector detection, and semantic comprehension of construction drawings and technical diagrams
Own specific components of our ML pipeline—from data annotation tools to model training scripts to inference services—and be responsible for their reliability and performance
Implement and fine-tune state-of-the-art computer vision models, whether adapting open-source solutions or building custom architectures for our unique use cases
Develop annotation pipelines, training workflows, and monitoring systems to ensure our models perform well in production
Work directly with construction customers to understand their needs, rapidly experiment with solutions, and iterate based on real-world feedback
Collaborate with senior engineers to learn best practices for production ML while contributing meaningfully to our computer vision capabilities
You're passionate about computer vision and have demonstrated this through coursework, personal projects, research, or internships focused on CV tasks like segmentation, object detection, OCR, or image understanding
You're excited by end-to-end ownership and production systems—you want to write code that ships and impacts real users, not just conduct academic research
You're comfortable moving fast, experimenting quickly, and learning from customer feedback in an early-stage environment
You have strong programming fundamentals and can write clean, maintainable Python code
You're eager to learn from experienced engineers while taking ownership of your own projects
You're motivated by the opportunity to apply cutting-edge computer vision techniques to solve real-world problems in traditional industries
Bachelor's degree in Computer Science, Machine Learning, Computer Vision, or related field required
1+ years of hands-on experience building and deploying computer vision or ML systems in production environments
Strong foundation in computer vision fundamentals and deep learning concepts
Experience with at least one deep learning framework (PyTorch, TensorFlow, etc.) through coursework, research, or personal projects
Proficiency in Python and familiarity with common ML/CV libraries (OpenCV, Tesseract, YOLO, scikit-learn, NumPy, etc.)
Demonstrated interest in computer vision through projects, competitions (e.g., Kaggle), research papers you've implemented, or relevant internships
Strong problem-solving skills and ability to learn quickly in a fast-paced environment
Open to non-traditional backgrounds if you can demonstrate equivalent skills and genuine passion for computer vision through substantial project work or contributions
At Boon, we want to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. This estimate can vary based on the above mentioned factors, so the actual starting annual base salary may be above or below this range. A Boon employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company.
Boon Is An Equal Opportunity EmployerAs an equal-opportunity employer, Boon is committed to providing employment opportunities to all individuals. All applicants for positions at Boon will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.
