Machine Learning Researcher, Regrello

Knowledge/Graph Retrieval

$165-220k

Salary dependent on location. + Equity

Python

Tensorflow

PyTorch

Senior and Expert level

San Francisco Bay Area

Remote from 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

$165-220k

Salary dependent on location. + Equity

Python

Tensorflow

PyTorch

Senior and Expert level

San Francisco Bay Area

Remote from 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 / quantitative field and a 3.5+ GPA or 5+ years of industry or post-Masters experience developing, building, and deploying Deep Learning models
Strong research background in graphs, network theory, or information theory
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!

What the job involves

Regrello is seeking talented and highly motivated US-based Machine Learning Researchers to join our AI-research team
In this role, you will conduct ground-breaking research on tabular modeling with real-world impact alongside other top tier machine learning researchers and software engineers
Your primary focus will be our novel foundational deep learning model that is specifically designed for processing large, complex tabular datasets
The ideal candidate will have a strong background in deep learning models, graphs, network theory, information theory, and related areas. Your expertise in these areas will be crucial in developing creative solutions that address the complex challenges faced in the manufacturing and supply chain domain
In addition to your immediate team members, you will collaborate closely with product managers, in-house supply-chain experts, and customers to design, develop, and deploy novel foundational AI algorithms that reshape how global supply chains are organized and operated
This is an individual contributor role, with the potential to take on additional responsibilities in the future
Develop, implement, and deploy AI models to solve real-world complex problems in global supply chain and manufacturing
Apply and build upon state-of-the-art machine learning technologies, stay-up-to-date with current developments in the AI field, and use your expertise to inspire AI applications across the organization
Collaborate with cross-functional teams including Engineering, Design, Product Management, and industry experts to build high-quality product features that can be used by major companies around the world
Take on new challenges and responsibilities as needed, and be an enthusiastic team player in a dynamic startup environment
Help shape the company 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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