Role Overview

We are seeking a passionate and skilled Senior Machine Learning Engineer to join our ML team, focused on advancing our work in object detection, image segmentation, and 3D reconstruction. The ideal candidate will bring strong technical capabilities, a proactive R&D mindset, and an eagerness to stay updated with the latest advancements in computer vision.

This role involves working on cutting-edge CV problems, understanding and improving complex codebases, and contributing meaningfully to our mission. Experience in the construction domain or real-world deployment scenarios is a strong plus.

Key Responsibilities

Design and implement models for object detection, semantic/instance segmentation, and 3D reconstruction

Analyze and debug large-scale computer vision pipelines

Collaborate with cross-functional teams to integrate ML models into production systems

Conduct research and experiments to evaluate emerging methods and improve current workflows

Understand and enhance existing codebases with clean, efficient, and maintainable code

Communicate findings clearly and effectively across technical and non-technical teams

What We’re Looking For

2–5 years of hands-on experience in Machine Learning and Computer Vision

Proficiency in Python and libraries such as PyTorch, TensorFlow, OpenCV, NumPy etc.

Decent experience with object detection models and segmentation techniques.

Strong understanding of 3D vision techniques (SfM, MVS, SLAM, COLMAP, etc.)

Excellent debugging, problem-solving, and code comprehension skills

Positive attitude, curiosity-driven approach, and strong willingness to learn and adapt

Good written and verbal communication skills

Preferred Qualification

Exposure to construction technology or domain-specific datasets (e.g., aerial/spherical/360 imagery)

Experience with large-scale data processing and pipeline optimization

Publications, GitHub contributions, or open-source involvement in computer vision projects

Experience working in collaborative environments using version control (e.g., Git) and code review processes

Why Join Us?

Join a high-growth SaaS startup transforming how the world builds. We’re redefining construction monitoring with cutting-edge technology—backed by real industry demand and rapid adoption.

Build and deploy ML at scale in the real world. You’ll work at the intersection of AI, computer vision, and construction tech—solving complex problems with tangible impact on infrastructure and cities.

Own end-to-end ML systems. From research and prototyping to deployment and optimization, your work will power key product features and influence our core technology roadmap.

Work closely with product, engineering, and leadership. Collaborate across teams to ensure ML is driving measurable value across the platform and helping shape our technical strategy.

High-impact, fast-paced environment. Your contributions will directly influence product performance, user experience, and ultimately customer success.

About Track3D

At Track3D, we’re building the future of construction monitoring with our Reality Intelligence Platform. By turning real-time visual data into AI-powered insights, we help owners, general contractors, and trade partners track progress, reduce disputes, and accelerate project outcomes.

We are a fast-growing enterprise SaaS startup working with some of the biggest names in the construction industry and we’re just getting started.