AI/ML Engineer for VR Automation
We are looking for an experienced AI/ML Engineer to join our project aimed at developing a SaaS VR platform for luxury real estate marketing.
As our AI/ML Engineer, you will play a crucial role in building and training machine learning models that automate 3D model optimization, material enhancement, and intelligent virtual staging within our Unreal Engine environment. You'll collaborate with our Unreal developer, who will manage cloud deployment and VR integration.
Key Responsibilities:
- Develop machine learning models
- Automated 3D model optimization
- AI-driven material enhancement
- Intelligent virtual staging for property layouts
- Build data pipelines for importing and processing 3Ds Max/FBX models
- Structure and prepare training datasets for model development
- Conduct iterative testing and refine models for improved accuracy
- Collaborate with our Unreal Engine developer to integrate AI tools into the platform
- Provide technical documentation and ensure scalability for future AI features
Requirements:
- 3+ years of experience in developing AI/ML solutions, particularly with CV
- Strong experience with TensorFlow, PyTorch, or OpenCV
- Proficiency in developing AI models for 3D model analysis or computer vision
- Familiarity with 3Ds Max, FBX data structures, and related 3D file formats
- Ability to design scalable AI pipelines for cloud environments (AWS/Azure experience preferred)
Nice-to-Have Skills:
- Basic understanding of Unreal Engine's Blueprint system or Python integration for AI model deployment
- Previous experience integrating AI automation into Unreal Engine
- Knowledge of real estate visualization or architectural rendering workflows
We Offer:
- Mentorship and support from senior developers, along with a personal development plan.
- Opportunities to grow quickly by working on increasingly complex and diverse tasks.
- A team consisting of a project manager, business analyst, designer, tech lead, backend/frontend developers, and mobile developers.
- Well-documented processes, a knowledge base, and preconfigured solutions to accelerate your work.
- Freedom to take initiative and make decisions, with opportunities to advance to a leadership position.
- Flexible remote work environment.
- Collaboration terms reviewed every six months.
Recruitment Process:
- Initial screening interview to discuss your experience (30-60 minutes).
- Main interview with the tech lead and project manager (90 minutes).