Machine Learning Engineer, Regrello
ML Ops
$165-220k
+ Offers equity
More information about location
Automated workflow engine
Job no longer available
Automated workflow engine
21-100 employees
Job no longer available
$165-220k
+ Offers equity
More information about location
21-100 employees
Company mission
To be the Operating Network for the Manufacturing World.
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
Regrello is a workflow automation company specializing in the manufacturing industry. A former advisor at McKinsey & Company, Aman Naimat capitalized on his experience working with investors to enhance the company as an attractive prospect to them. Stakeholder visibility comes first, meaning that those with shares in the company using Regrello’s platform will have first-hand access to supply chain and operational statuses and insights.
With the clunky nature of Excel spreadsheets, Regrello is not the first company to automate workflow and create software to streamline actions, but it does have a niche in the market - manufacturing and distribution companies.
With funding from Dell Technologies, Regrello has bagged customers like Desktop Metal, a 3D printing company innovating the industry. This mix of large investors and forward-thinking clients means that as Regrello grows, it's in a good position to keep ahead of the competition.
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 benefits
- Industry-leading compensation
- Ownership both of product and of equity in the company
- Excellent healthcare benefits including 100% coverage for individuals & families- health, dental, life insurance, and vision
- Flexible remote work from anywhere in the continental US. European time zones possible with negotiation
- Quarterly "on-sites" with the entire company to bring us closer together
Company HQ
Inner Richmond, San Francisco, CA
Leadership
Aman Naimat
(CEO)Previosuly Advisor at McKinsey & Company, CTO at Demandbase and Class Lecturer CS472 at Stanford University.
Salary benchmarks
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