About Us We're on a mission to revolutionize the CAD industry by developing the world's most advanced hardware design infrastructure and tools. Mechanical CAD is in the dark ages, and hardware demands have outpaced today’s hardware design infrastructure. The industry is due for a refresh, and w e're laying the foundation for a modern hardware design toolkit so that you can create new design tools never before possible. We are headquartered in Los Angeles, CA with both a local and remote team. We were founded and incubated by Embedded Ventures in 2021. About You We’re looking for curious, innovative, and ambitious self-starters to join our lean and growing team to help us bring our mission to life. We think you’ll thrive on our team if you’re: Curious at your core, with an eagerness to learn and do things differently Customer-focused, always thinking about ways to improve the user experience Able to operate autonomously and work asynchronously, while also being an effective team player About The Role We are seeking a highly skilled Data Engineer to join our growing team to support our foundational data engineering processes. In this role, you’ll build, implement, and manage our ML data ecosystem to support Zoo’s ML initiatives as we scale. The right candidate will have a strong background in Python programming, data integration, data warehousing, data munging/cleaning, and ETL for ML datasets. The ideal candidate will also have an understanding of Computer-Aided Design (CAD) with knowledge of the relevant data required for hardware design. What You’ll Do Develop and maintain automated processes for data collection from various sources Design and implement data warehousing solutions to store and manage large datasets Clean and pre-process data to ensure its quality and usability for ML models Create and manage ETL pipelines to transform raw data into structured datasets for ML applications Apply CAD knowledge to integrate and manipulate design data within our systems Collaborate with cross-functional teams to understand data requirements and deliver robust data solutions Continuously optimize and improve Zoo’s data workflows and processes What You’ll Need B.S. Computer Science or a related field, or equivalent professional experience Professional experience and demonstrated proficiency in Data Engineering Demonstrated proficiency with Python Knowledge of CAD and its integration with data systems Extensive experience working with CAD models and deep understanding of their design principles Expertise in data extraction, data warehousing, and data munging best practices Experience with Git Nice to Have Strong background in data analytics, statistics, and data visualization techniques Experience working on Generative AI applications Proficiency in Rust Proficiency with SQL The salary range for this role is provided below. The final offer will depend on multiple factors including candidate experience, skills, expertise, and market data. Compensation may vary by geography. In addition to salary, we offer competitive equity as well as a full benefits package which may vary by geography as well. Salary Range
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