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Regrello company logo
Mission: Be the Operating Network for the Manufacturing World51-200 Employees
  • B2B
  • Growth Stage
    Expanding market presence
  • Top Investors
    This company has received a significant amount of investment from top investors

Jobs at Regrello

We are modern: The Regrello platform is a no-code user facing system that utilized data science, deep integrations and modern cloud technologies together to give full visibility and total transparency to the most sophisticated manufacturing processes. We are different: We have a content network - We are building a Large Library of Vertical Templates by Community of experts (Eg. RFQs to source batteries) We have a Supplier Network - The Growing Network of Suppliers using the customer customized workflows We have integrations to other systems - Integrations Automate Day-to-Day Tasks (Eg. SAP, Infor, Maersk, Oracle, Box…) We have Values: Create products that you will proudly stand behind. We are proud of what you have built We want to share it with others because of the work and investment you have made on it We want to be proud of this contribution as a long-term legacy Quality and Trust Our customers are running 24x7 operations and our product is managing that operation. Companies will shut down and people will lose jobs if the product doesn’t work. Sensitive data and core intellectual property of a manufacturing company is moving through our system. We should build something that respects our customers property and creates trusts with our users. Supply Chain is highly networked, one incident and it’s the end of Regrello. It is essential for long-term success of Regrello and not only core value of the company but a core feature of our product. We are structured Written & Deep Work Written Work: Allows us to clearly articulate customer value and why we are doing something Makes us not be ‘hand wavy’ or abstract and think through the details such as experience and customer ROI Reduces and simplifies complex thinking and processes to its minimum simple core Allows for feedback, critique, action at scale as company grows Deep Work: Because there is a near exponential relationship between productivity and contiguous time spent on a task. Sets expectations
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Engineering

Machine Learning Engineer - ML Ops

NewPosted 1 year ago

Machine Learning Engineer - ML Ops

  • Bachelors in Computer Science or Software Engineering with a 3.5+ GPA.
  • 3+ years of industry experience architecting MLOps pipelines for Deep Learning models.
Engineering

Machine Learning Engineer

NewPosted 1 year ago

Machine Learning Engineer

  • Bachelors in Computer Science or Software Engineering with a 3.5+ GPA
  • 3+ years of industry experience scaling and deploying ETL pipelines or Deep Learning models for real-world scenarios