
Artificial Intelligence • Enterprise • Manufacturing
Regrello is a company focused on revolutionizing supply chain and operations with its advanced AI operating system. By leveraging state-of-the-art generative AI technology, Regrello aims to break free from outdated email communications and ERP systems, accelerating innovation and productivity for manufacturers creating products of the future. Trusted by over 100 of the world's largest manufacturing companies, Regrello positions itself as a leader in enhancing operational efficiency and modernizing supply chain processes.
11 - 50 employees
🤖 Artificial Intelligence
🏢 Enterprise
💰 $20M Series A on 2022-05
January 19

Artificial Intelligence • Enterprise • Manufacturing
Regrello is a company focused on revolutionizing supply chain and operations with its advanced AI operating system. By leveraging state-of-the-art generative AI technology, Regrello aims to break free from outdated email communications and ERP systems, accelerating innovation and productivity for manufacturers creating products of the future. Trusted by over 100 of the world's largest manufacturing companies, Regrello positions itself as a leader in enhancing operational efficiency and modernizing supply chain processes.
11 - 50 employees
🤖 Artificial Intelligence
🏢 Enterprise
💰 $20M Series A on 2022-05
• Machine Learning Researcher - Scaling & Performance. • Regrello is seeking talented and highly motivated US-based Machine Learning Researchers to join our AI-research team. • Conduct ground-breaking research on tabular modeling with real-world impact alongside other top tier machine learning researchers and software engineers. • Primary focus on novel foundational deep learning model designed for processing large, complex tabular datasets. • Strong background in scaling deep learning models, computational optimization, performant GPU-kernels. • Collaborate closely with product managers, in-house supply-chain experts, and customers to design, develop, and deploy novel foundational AI algorithms. • Individual contributor role, with potential for additional responsibilities in the future.
• PhD in Computer Science / quantitative field and a 3.5+ GPA or 3+ years of industry or post-Masters experience scaling and deploying Deep Learning models. • Strong background in either developing performant GPU-optimized deep learning kernels, such as with CUDA, or scaling models in multi-node distributed environments. • Experienced with deep learning, such as natural language processing, reinforcement learning, computer vision, LLMs, etc. • Proficiency with Python and PyTorch, Tensorflow, or JAX. • Excellent written and verbal communication skills, capable of articulating complex technical concepts to diverse audiences. • A strong desire to learn, grow, and drive impact on real global problems—and to help others around you do the same. • Non-requirement: You don't need any experience with supply chain or manufacturing—we'll teach you that part!
• Industry-leading compensation packages, including equity and health benefits. • Health insurance (medical, dental, vision). • Generous paid time off.
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