Machine Learning Scientist, Regrello

$150-225k

Plus equity

Tableau

Tensorflow

Spark

Scikit-Learn

Kubeflow

Oracle

Junior, Mid and Senior level

Remote from Canada, US

More information about location

AI operating system for manufacturing and supply chain operations

Job no longer available

AI operating system for manufacturing and supply chain operations

21-100 employees

B2BProductivityManufacturingSaaSAutomation

Job no longer available

$150-225k

Plus equity

Tableau

Tensorflow

Spark

Scikit-Learn

Kubeflow

Oracle

Junior, Mid and Senior level

Remote from Canada, US

More information about location

21-100 employees

B2BProductivityManufacturingSaaSAutomation

Company mission

To be the Operating Network for the Manufacturing World.

Job

Company

Role

Who you are

PhD in Computer Science with research in AI, with a GPA of 3.5+
0 to three (3) years of experience in AI and machine learning techniques, including deep learning, natural language processing, reinforcement learning, and LLMs
Experience with 1 or more of these AI/ML technologies: TensorFlow, scikit-learn, Spark MLlib, Mlflow, Kubeflow
Demonstrated ability not only to use state-of-the-art AI techniques but also to innovate upon them
Strong background in CS and software development with real-world deployment of models and data engineering
Excellent written and verbal communication skills

What the job involves

Regrello is seeking highly motivated and talented recent-grad Machine Learning Scientists to help us build generative models to solve international supply chain problems in the manufacturing and supply chain industry
As a Machine Learning Scientist, you will collaborate closely with engineers, product managers, designers, in-house supply-chain experts, and customers to design, develop, and deploy AI-powered solutions that revolutionize how global supply chains in manufacturing and supply chain industry are organized and operated
You will have the opportunity to contribute to the advancement of manufacturing practices on a global scale
Your work will involve leveraging AI techniques, including NLP and generative models, to drive optimization, efficiency, and automation in manufacturing and supply chain operations. You will be at the forefront of creating cutting-edge solutions that have a direct impact on how organizations optimize manufacturing and supply chain processes
You will be at the forefront of creating cutting-edge solutions that have a direct impact on how organizations optimize manufacturing and supply chain processes
Develop and implement AI models to solve real-world complex problems in global supply chain and manufacturing
Deploying models to production and software engineering to support models at scale
Collaborate with cross-functional teams, including Design, Product Management, and industry experts, to build high-quality product features
Embrace new challenges and responsibilities as needed, while maintaining an enthusiastic and collaborative approach in a dynamic startup environment
Help shape the company's future by participating in hiring decisions and contributing to our culture of continuous learning and growth

Our take

The enterprise automation marketing is moving beyond rule-based workflows and toward agentic systems that can coordinate complex, cross-functional work. As companies push AI into production, demand is only rising for platforms that can turn unstructured data and human input into adaptive, end-to-end processes.

Regrello operates in this emerging agentic process automation layer as an AI-native platform that transforms business data and unstructured artifacts into coordinated workflows. THis process reduces manual handoff and fragmented tools while allowing for faster, more consistent execution.

Recently, the company was acquired by Salesforce, validating the growing importance of agentic processes automation in the enterprise. Integration with Agentforce and Slack gives Regrello immediate scale, while also reinforcing Salesforce's push to make agentic orchestration a core layer of enterprise workflows as AI moves from the experimentation phase into production.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

May 2022

$20m

SERIES A

Jan 2021

$5.2m

SEED

Total funding: $25.2m

Company HQ

Inner Richmond, San Francisco, CA

Leadership

Aman Naimat

(CEO)

Previously an Advisor at McKinsey & Company, CTO at Demandbase and a Class Lecturer CS472 at Stanford University.

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