ML Engineer with Computer vision

• Role: ML Engineer with Computer vision
• Location: Dallas, TX
• Role Type: Full-Time
• Compensation: Competitive salary + Benefit

About Us

We re building an AI-first product to revolutionize the $100B+ U.S. moving industry of over 35 million Americans relocating each year. Movers face challenges in pricing, quoting, and inventory collection. Our product is a Virtual Survey platform that uses AI and computer vision to automate and streamline the pre-move survey replacing manual, error-prone video calls or home visits with smart, scalable digital workflows.

We have deep domain insight, early customer validation, and are moving toward MVP + early pilot.

The venture is funded & backed by iOPEX Technologies.

What You ll Build
You ll lead the design and development of our core product: an intelligent survey platform where customers can record or upload videos/photos of their home and have the system automatically detect furniture, boxes, and other moveable items using object detection and CV pipelines.

Your Responsibilities

• Architect and build the core AI Virtual Survey application (web/mobile)
• Design a robust pipeline to ingest, process, and analyze user-submitted photos/videos
• Build or integrate object detection models (YOLO, Detectron2, custom ML models)
• Work closely with the product team to create intuitive, user-friendly UX for surveys
• Integrate APIs for storage, video processing, and downstream quoting tools
• Establish engineering best practices, version control, and deployment pipelines
• Own product performance and reliability as we scale
• Play a key role in hiring and shaping the early tech cultureIdeal Background
• 6+ years of hands-on engineering experience, preferably in startup or 0 1 settings
• Strong experience building and deploying full-stack web or mobile apps (React Native, Flutter, or native iOS/Android a plus)
• Deep experience with computer vision / object detection in real-world image/video
  pipelines
• Proficiency in ML frameworks like PyTorch, TensorFlow, OpenCV, RF-DETR, Yolo etc.
• Experience with video processing at scale (e.g., FFmpeg, AWS Rekognition, etc.)
• Strong backend/API experience with Python, Node.js, or Go
• Comfortable deploying on AWS/Google Cloud Platform, setting up CI/CD pipelines
• Strong product sense and ability to work cross-functionally

Nice to Haves

• Previous experience with logistics, home services, or real estate tech
• Experience building visual annotation tools or using Label Studio, Roboflow, etc.
• Worked with on-device AI or lightweight inference models
• Familiarity with AI assistants or task-oriented bots in operational workflows
• Experience with edge cases like poor lighting, occlusion, or messy real-world data

Why You Should Join

• Greenfield opportunity: no legacy tech, total freedom to shape the stack
• Work on a real-world AI application solving clear, underserved user needs
• Early team member with high ownership and direct access to decision-making
• Global impact: build in India, launch in the U.S.
• Work closely with a business-savvy founders who understands the problem deeply
• Flexible work culture + benefits + real ownership + fast growth
• Build a category-defining AI product from 0 1