Senior Machine Learning Engineer

Location:

About Track3D

Reality Intelligence Platform

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.

Role Overview: Senior Machine Learning Engineer

Senior Machine Learning Engineer

construction domain

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 :

• 25 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 Qualifications:

• 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 technologybacked 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 techsolving 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.

How to Apply:

Please fill the google form given

https://forms.gle/mC2hDRpQgReyGS7P6

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