AI/ML Research Scientist

About Attentive.ai
Attentive.ai is transforming the field services and construction industries with our flagship AI solution - Beam AI. Our platform empowers businesses to double their bidding capacity and accelerate growth through automation and intelligent insights.
More than 1k+ businesses across the U.S. and Canada already use our products to boost sales velocity and streamline operations. We have raised $30.5M in Series B funding, accelerating our mission to make advanced AI tools accessible, practical, and impactful in the real world. We are proudly Backed by Insight Partners, Peak XV (Surge), InfoEdge, Tenacity and Vertex Ventures.
Position Description
As an AI/ML Research Scientist, you will be an integral part of our AI research team focused on transforming the construction industry through cutting-edge deep learning, computer vision and NLP technologies. You will contribute to the development of intelligent systems for automated construction take-off and estimation by working with unstructured data such as blueprint, drawings (including SVGs), and PDF documents.
In this role, you will support the end-to-end lifecycle of AI-based solutions — from prototyping and experimentation to deployment in production. Your contributions will directly impact the scalability, accuracy, and efficiency of our products.
Roles & Responsibilities

• Build and deploy ML models for parsing and reasoning over construction blueprint PDFs - working with image, text and vector graphics modalities
• Design data pipelines for training, validation, and continuous improvement.
• Improve model accuracy, latency, and scalability for production workloads.
• Contribute to system architecture decisions for ML deployment and monitoring.
• Collaborate with cross-functional teams including software engineers, ML researchers, and product teams
• Write clean, scalable, and production-ready code
  

Skills & Requirements

• 3–5 years of experience in applied AI/ML and research, preferably with focus on computer vision.
• PhD or Master's degree in deep learning, coupled with research experience focused on image modalities.
• Experience working with document understanding, OCR pipelines, or structured extraction systems is a plus.
• Deep understanding of unsupervised learning techniques like 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)
• Familiarity with LLM based systems and architectures
• Comfortable working in a fast-moving, ownership-driven environment.
  

Why Work With Us?

• Be part of a visionary team building a first-of-its-kind AI solution for the construction industry.
• Exposure to real-world AI deployment and cutting-edge research in vision and multimodal learning.
• Culture that encourages ownership, innovation, and growth.
• Opportunities for fast learning, mentorship, and career progression.