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 By leveraging state-of-the-art generative AI technology, Regrello aims to break free from outdated email communications and ERP systems, accelerating innovation and productivity for manufacturers creating products of the future.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.
Operations β’ Supply chain β’ Workflows β’ Automation β’ Collaboration
January 19
π Anywhere in North America β Remote
π΅ $165k - $220k / year
β° Full Time
π‘ Mid-level
π Senior
π€ Machine Learning Engineer
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 By leveraging state-of-the-art generative AI technology, Regrello aims to break free from outdated email communications and ERP systems, accelerating innovation and productivity for manufacturers creating products of the future.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.
Operations β’ Supply chain β’ Workflows β’ Automation β’ Collaboration
β’ Machine Learning Engineer - ML Ops. β’ Role at Regrello involves bridging ML Researchers and Software Engineers. β’ Contribute to advanced manufacturing practices on a global scale. β’ Individual contributor role with potential for additional responsibilities.
β’ Bachelors in Computer Science or Software Engineering with a 3.5+ GPA. β’ 3+ years of industry experience architecting MLOps pipelines for Deep Learning models. β’ Strong understanding of training models in distributed multi-node GPU environments. β’ Experienced with data engineering technologies like Airflow, Spark, Trino, Flink, or BigQuery. β’ Familiarity with Python and PyTorch, Tensorflow, or JAX. β’ Excellent written and verbal communication skills. β’ A strong desire to learn and grow. β’ Non-requirement: No experience with supply chain or manufacturing needed.
β’ Competitive salary range based on experience and qualifications. β’ Equity in the startup. β’ Health insurance (medical, dental, vision). β’ Generous paid time off.
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