Machine Learning / AI Engineer
Homekynd- Location
- Remote
- Workplace
- Remote
- Employment
- Full Time
- Salary
- —
Posted 2mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Design, develop, and deploy ML models for object detection, scene understanding, and 3D asset placement
- Train and fine-tune models on 3D datasets to generate realistic visualizations while preserving image fidelity
- Collaborate with graphics and full-stack teams to integrate AI models into the product pipeline
- Implement tools to automate image segmentation, furniture recognition, and style recommendations
- Optimize model performance for real-time or near-real-time inference at scale
- Stay current on generative AI and ML advancements and bring relevant capabilities into the platform
Requirements
- 3+ years in ML development with a focus on computer vision
- Proficiency in Python
- Proficiency in ML frameworks including PyTorch, TensorFlow, or Keras
- Strong understanding of generative models (Stable Diffusion, GANs, VAEs)
- Strong understanding of LLM-based integrations
- Experience with 3D data processing including point clouds, mesh recognition, and geometry analysis
- Familiarity with object detection and segmentation tools (YOLO, Mask R-CNN)
- Ability to deploy models efficiently using TensorRT, ONNX, or serverless cloud deployments
Preferred
- Experience with ControlNet for AI-driven image conditioning
- Familiarity with 3D file formats and workflows (glTF, OBJ)
- Experience with cloud-based ML platforms such as Vertex AI, AWS SageMaker, or Hugging Face
- Background in recommendation systems for design suggestions or automated staging
Skills
- Python
- PyTorch
- TensorFlow
- Keras
- Stable Diffusion
- GANs
- VAEs
- LLM
- YOLO
- Mask R-CNN
- TensorRT
- ONNX
- ControlNet
- glTF
- OBJ
- Vertex AI
- AWS SageMaker
- Hugging Face
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