Engineering · Full-time · Palo Alto, United States
Imagine writing software with no debugger, no logging, and only getting to compile it three times before you need to ship millions of copies. That's what building electronics products is like for hardware, quality, and process engineers. As a result of this data- and insight-poor environment, companies waste significant time, money, and material. Instrumental's manufacturing AI and data platform solves this problem for the most admired hardware companies in the world.
Instrumental’s mission is to drive manufacturing efficiencies through technology that empowers teams to build products better, faster, and with less waste. Brands like Meta, Bose, Cisco, and SolarEdge use our technology to optimize their manufacturing processes and deliver superior products in less time. We start by collecting data that no one else can; then we use machine learning and visualizations to automatically identify defects and help companies understand their assembly processes. As a result, product and process problems are caught and solved earlier, before they create delays and cost millions.
We are ~70 people – a small but mighty team. We value an inclusive environment and actively work to promote diversity in our team. If you are looking for a place to collaborate with a mission-oriented team to deliver an outsized impact on the manufacturing industry, we’d love to hear from you!
About The Role: We’re seeking a highly customer-centric ML Engineer who will join our cross-functional engineering team. You’ll be responsible for working with our talented engineers to build and maintain a highly scalable end-to-end ML production pipeline. The role requires a mix of research and productization responsibilities, both delivered in a rapid, iterative clip.
What You’ll Do:
What You’ll Need to Be Successful: