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Summary:
- 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.
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.
Requirements:
- 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!
Benefits:
- $165,000 – $220,000 a year.
- Industry-leading compensation packages, including equity and health benefits.
- Health insurance (medical, dental, vision).
- Generous paid time off.
