Staff AI Engineer

Company Overview

We are a leading provider of landscape and property management software powered by cutting-edge Artificial Intelligence (AI). Our software is designed to optimize workflows and help businesses scale up effortlessly in the outdoor services industry. Our Automeasure software caters to landscaping, snow removal, paving maintenance, and facilities maintenance businesses. We are also building an advanced AI engine focused on automating construction take-off and estimation workflows through deep AI. Beam AI is designed to extract intelligence from complex construction drawings, helping teams save time, reduce errors, and increase bid efficiency. Trusted by top US and Canadian sales teams, we are backed by renowned investors such as Sequoia Surge and InfoEdge Ventures.

Job Summary

As a Staff AI Engineer, you will be an integral part of our AI research team, transforming the construction industry through advanced deep learning, computer vision, and Natural Language Processing (NLP) technologies. You will contribute to the development of intelligent systems for automated construction take-off and estimation while working with unstructured data, including blueprints and other document formats. Your contributions will directly impact the scalability, accuracy, and efficiency of our products.

Responsibilities

• Contribute to research and development initiatives focused on Computer Vision, Image Processing, and Deep Learning applied to construction-related data.
• Build and optimize models for extracting insights from documents such as blueprints, scanned PDFs, and SVG files.
• Develop multi-modal models that integrate vision with language-based features (NLP/LLMs).
• Follow best practices in data science and machine learning, including data-centric development, experiment tracking, model validation, and reproducibility.
• Collaborate with cross-functional teams, including software engineers, ML researchers, and product teams to transform research ideas into real-world applications.
• Write clean, scalable, and production-ready code using Python and frameworks like PyTorch, TensorFlow, or HuggingFace.
• Stay updated with the latest research in computer vision and machine learning, evaluating their applicability to construction industry challenges.

Qualifications

• 5-6+ years of experience in applied AI/ML with a strong focus on Computer Vision and Deep Learning.
• Solid understanding of image processing, visual document understanding, and feature extraction from visual data.
• Familiarity with SVG graphics, NLP, or LLM-based architectures is a plus.
• Deep understanding of unsupervised learning techniques, including clustering, dimensionality reduction, and representation learning.
• Proficiency in Python and ML frameworks such as PyTorch, OpenCV, TensorFlow, and HuggingFace Transformers.
• Hands-on experience with model optimization techniques (e.g., quantization, pruning, knowledge distillation).
• Strong analytical and problem-solving skills; passion for developing innovative solutions with the ability to rapidly prototype and iterate.

Preferred Skills

• Experience with version control systems (e.g., Git), project tracking tools (e.g., JIRA), and cloud environments (GCP, AWS, or Azure).
• Familiarity with Docker, Kubernetes, and containerized ML deployment pipelines.
• Comfortable working in a fast-paced, agile, startup-like environment with excellent communication and collaboration skills.

Experience

• A minimum of 5 years of relevant experience in AI and machine learning, particularly in applied AI with a focus on computer vision and deep learning.

Environment

• The typical work setting is collaborative, supporting a dynamic team culture focused on innovative AI solutions. Specific location details are not provided, but the environment emphasizes agility and rapid iteration.

Salary

• Salary information is not provided.

Growth Opportunities

• Opportunities for fast learning, mentorship, and career progression within a visionary team building a first-of-its-kind AI solution for the construction industry.

Benefits

• The specific benefits offered are not detailed.