Company
Regrello is a 40-person startup reimagining automation in supply chains, in which companies still communicate about $13T of annual shipments almost entirely via email. This is a $220-billion, Amazon-sized market opportunity that’s been largely overlooked for over 20 years. Our team has experience building billion-dollar companies and includes veterans from Oracle, Palantir, Apple, Amazon, and Microsoft. Our customers include some of the largest electronics manufacturers in the world, all of which are hungry for us to succeed. We're funded by Andreessen Horowitz, Tiger Global, Dell, Bloomberg, and Ram Sriram (first investor in Google).
Product
We are building a global operating network that finally enables supply-chain companies to collaborate within one platform. Our workflow engine empowers non-technical industry experts to model their complex manufacturing and operational processes. Our forms engine enables unprecedented data exchange between companies. And our upcoming AI engine can generate entire new processes and summarize the complex goings-on across thousands of workflows, identifying inefficiencies and driving optimization as companies react to a constantly-shifting global landscape. Quote one user: ”I’ve been waiting for this for 20 years.”
Role
Regrello is seeking a skilled Senior AI Applications Engineer to drive the ongoing development of our AI App Engine. In this role, you will collaborate closely with the AI App Engine team to design, develop, maintain, and scale sophisticated features crucial for our leadership in the industry. You will spearhead projects, lead design discussions, engage directly with customers to gather insights, and effect significant industry changes. Regular communications with the CEO, who is deeply invested in this project, will be part of your responsibilities. The ideal candidate should have substantial experience in machine learning engineering, proficiency in programming languages used for AI such as Python or Java, deep understanding of data modeling and experience in building and scaling backends for AI-driven applications. Moreover, having authored multiple models that have been successfully integrated into production applications is highly desirable.
Culture and Compensation
We are a customer-obsessed, product-driven company that is building a flexible, hybrid/remote culture to enable the brightest minds in the industry. We are particularly interested in candidates based in our hubs of Seattle, San Francisco, and New York, but we will consider candidates who live anywhere in the US, Canada, or Mexico. We have industry-leading compensation packages, including equity and health benefits. We are willing to sponsor US work authorization if needed.
Requirements
- B.S. in Computer Science with coursework in Artificial Intelligence, 3.5+ GPA (M.S. preferred)
- 3-7 years of industry experience developing AI-driven applications
- Proficiency in AI programming languages such as Python, Go, Java, or C++
- Experience with frontend such as React
- Strong background in APIs, data modeling, and databases
- Experience with AI libraries and frameworks highly valued
- Demonstrated ability to work both independently and collaboratively in a dynamic startup environment
- Excellent written and verbal communication skills
- Passion for continuous learning and development in AI technologies, and enthusiasm for mentoring peers
Responsibilities
- Collaborate with cross-functional teams including Design, Product Management, and industry experts to build high-quality product features.
- 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.
If this sounds exciting, please apply, and we'll get back to you promptly if we see a fit!
What We Do
90% of supply chain and operations processes today are stuck in email and Excel (and not in your ERP). We are building an automated workflow engine to enable manufacturing companies to drive collaboration and standardize best practices across their supply chain and operations.