
11 - 50 employees
👗 Fashion
🤖 Artificial Intelligence
🛍️ eCommerce
💰 Funding Round - SpreeAI on 2025-05
Fashion • Artificial Intelligence • eCommerce
SPREEAI is an AI-driven fashion technology company that provides real-time virtual try-on experiences for apparel, embedded directly into a brand's shopping platform. Customers can snap or upload a photo or select a model to see garments styled and fitted instantly, helping brands increase personalization and conversion. SPREEAI partners with fashion labels, industry organizations, and academic institutions to advance its fit and visualization technology within e-commerce.
🕒 February 25
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
👗 Fashion
🤖 Artificial Intelligence
🛍️ eCommerce
💰 Funding Round - SpreeAI on 2025-05
Fashion • Artificial Intelligence • eCommerce
SPREEAI is an AI-driven fashion technology company that provides real-time virtual try-on experiences for apparel, embedded directly into a brand's shopping platform. Customers can snap or upload a photo or select a model to see garments styled and fitted instantly, helping brands increase personalization and conversion. SPREEAI partners with fashion labels, industry organizations, and academic institutions to advance its fit and visualization technology within e-commerce.
• Build automated evaluation pipelines for multimodal AI models. • Benchmark diffusion models, vision systems, and generative workflows. • Validate model checkpoints and detect regressions across versions. • Develop evaluation metrics for realism, consistency, and performance. • Integrate evaluation tooling into CI/CD workflows. • Collaborate with ML researchers and infrastructure teams to ensure production readiness. • Analyze failure modes and propose evaluation strategies.
• Degree in Computer Science, AI, Engineering, or comparable combination of education and practical experience. • Strong programming skills in Python. • Familiarity with object-oriented programming (C++, Java, Python, or similar). • Strong data structures and algorithms fundamentals. • Understanding of machine learning experimentation workflows. • Experience evaluating vision or generative models. • Familiarity with HuggingFace ecosystem or open-source ML toolkits. • Experience building automated test frameworks or benchmarking tools. • Knowledge of diffusion models or multimodal architectures. • Experience with data analysis tools (NumPy, Pandas, visualization libraries).
• Health insurance • Professional development opportunities • Flexible work arrangements
Apply Now🕒 February 25
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