Research Scientist

Arcade is building an AI physical product creation platform that uses natural language and generative AI to design, purchase, and sell custom manufacturable products. The Research Scientist will lead the development of innovative Vision-Language Model technologies for evaluating consumer products, including product captioning, market price prediction, and aesthetic assessment. The role involves inventing architectures and training methods, adapting multimodal models, creating specialized datasets and metrics, and collaborating with engineering teams to deploy research in production systems.

Responsibilities:

• Innovation & Invention: Pioneer novel neural architectures, loss functions, and multimodal integration techniques. We expect you to invent new AI technologies and methodologies to solve unprecedented challenges in visual product perception
• VLM Fine-Tuning & Adaptation: Lead the deep fine-tuning, adaptation, and structural optimization of state-of-the-art Vision-Language Models (e.g., Qwen-VLM, PaliGemma2 etc.) for targeted, highly complex computer vision tasks
• Complex Attribute Estimation: Develop the mathematical and architectural foundations to extract highly nuanced signals from product images, translating subjective concepts (like aesthetics and market value) into rigorous, learnable objectives
• Dataset Strategy: Guide the creation, curation, and algorithmic augmentation of specialized multimodal datasets required to teach foundation models novel, domain-specific concepts
• Evaluation & Metrics: Invent rigorous evaluation frameworks and custom metrics to accurately measure model performance on abstract tasks where standard academic benchmarks do not exist
• Cross-Functional Collaboration: Work closely with engineering teams to ensure your proprietary research and new technologies translate seamlessly into scalable, production-ready systems