Machine Learning / AI Engineer
Location
United States
Posted
4 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
Machine Learning / AI Engineer
HOMEKYND
Role Description As Machine Learning / AI Engineer, you'll develop and integrate AI-driven features directly into the 3D visualization platform. Object placement, scene analysis, asset generation - you're applying machine learning to problems most engineers never get close to. - 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 Qualifications - 3+ years in ML development with a focus on computer vision - Proficiency in Python and ML frameworks including PyTorch, TensorFlow, or Keras - Strong understanding of generative models (Stable Diffusion, GANs, VAEs) and 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 Requirements - 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
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