Machine Learning Engineer, Regrello

ML Ops

$165-220k

+ Offers equity

Python

Airflow

Tensorflow

Spark

PyTorch

Flink

BigQuery

Mid and Senior level

Austin

New York

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

+ Offers equity

Python

Airflow

Tensorflow

Spark

PyTorch

Flink

BigQuery

Mid and Senior level

Austin

New York

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

The ideal candidate will have several years of experience bringing deep learning models to fruition in an industry setting, with a well-developed intuition about how to best make it happen
Bachelors in Computer Science or Software Engineering with a 3.5+ GPA
3+ years of industry experience architecting MLOps pipelines for Deep Learning models
Strong understanding of training models in distributed multi-node GPU environments
Experienced with data engineering technologies, such as Airflow, Spark, Trino, Flink, or BigQuery
Familiarity 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 proactive and industry-experienced US-based Machine Learning Engineers to join our AI-research team
In this role, you will bridge the gap between our top-tier Machine Learning Researchers and Software Engineers, moving fluidly between both disciplines to steward our groundbreaking Machine Learning and AI capabilities to real users in production
Together with your team members, you will lead the productionalization of our novel foundational deep learning model that is specifically designed for processing large, complex tabular datasets
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
Manage the deployment of 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

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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