Machine Learning Researcher, Regrello
$165-220k
+ Equity
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
Job no longer available
$165-220k
+ Equity
More information about location
21-100 employees
Company mission
To be the Operating Network for the Manufacturing World.
Role
Who you are
- Masters/PhD in Computer Science or quantitative field with research in AI and a 3.5+ GPA
- 3+ years of industry or post-Masters/PhD experience developing, building, and deploying Machine Learning models for real-world scenarios
- Strong experience in deep learning and graphs or network theory. Experience with at least one other form of machine learning, such as natural language processing, reinforcement learning, computer vision, LLMs, etc
- Proficiency with Python and PyTorch, Tensorflow, or JAX
- Demonstrated ability not only to use state-of-the-art machine learning techniques but also to innovate upon them
- 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 a highly motivated and talented US-based Machine Learning Researcher to join our AI team
- In this role, 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 reshape how global supply chains are organized and operated
- We are specifically looking for candidates with a strong background in deep learning models, graphs, network theory, natural language processing, and related areas
- Your expertise in these areas will be crucial in developing innovative solutions that address the complex challenges faced in the manufacturing and supply chain domain
- By joining our team, you will have the opportunity to contribute to the advancement of manufacturing practices on a global scale
- 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
- 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
- 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
- Working on our Large Tabular Model - a new type of Foundational model that is designed specifically for large-scale tabular data
- Refining and building on our AI application that is transforming enterprise resource planning
- Defining the next generation of Regrello's automated insights feature
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.
Salary benchmarks
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