Senior Software Engineer, Data - AI Engine

Senior Software Engineer, Data - AI Engine Regrello is seeking proactive and industry-experienced US-based Senior Software Engineers (Data) to join our AI-research team. In this role, you will collaborate with our top-tier Machine Learning Researchers and Engineers to source, ingest, clean, and productionize data for Regrello’s AI development efforts. This will involve building and maintaining scalable ETL pipelines that ensure high data quality and allow for fast iteration. If you are passionate about type-safety, scalability, pipeline robustness, and love digging into mountains of data, then this is the position for you! Regrello strongly believes that any AI model is only as good as its data. 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. Company Regrello is a 60-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. We're funded by Andreessen Horowitz, Tiger Global, Dell, Bloomberg, and Ram Sriram (first investor in Google). With a 2-3 year runway, we offer startup agility and longer-term stability. 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. Our AI engine monitors the complex goings-on across thousands of workflows, identifies inefficiencies, and drives optimization in a constantly-shifting supply chain landscape. Quote one user: ”I’ve been waiting for this for 20 years.” 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. We have industry-leading compensation packages, including equity and health benefits. About you • Bachelors in Computer Science or Software Engineering with a 3.5+ GPA. • 5+ years of industry experience in data engineering position building production data pipelines with identifiable business use cases. • Strong CS fundamentals with extensive background architecting scalable and robust production-grade pipelines. • Expertise with modern data technologies, such as Airflow, Spark (Scala preferred), Trino, Flink, and BigQuery. • Proficient with SQL and skilled in Python. Scala expertise is a big plus! • 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. • Experience with AI libraries, frameworks, and pipelines is preferred but not required. • Non-requirement: You don't need any experience with supply chain or manufacturing—we'll teach you that part! Responsibilities • Build production-grade data pipelines for our 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. Apply tot his job