We are a series-A startup building perception systems for autonomy. We are based in the San Francisco Bay Area, funded by NEA, and our core team includes faculty entrepreneurs (Stanford and UC Santa Barbara) and industry veterans (Uber, Apple, Amazon Lab126, Rohde & Schwarz), who have successfully shepherded signal processing and machine learning innovations to large-scale software for location improvement and safety at Uber, led the development of state-of-the-art computer vision technologies that shipped over millions of Amazon devices, and delivered zero-to-one product experiences at Uber and Box. Our core product grew out of 5 years of university R&D by our co-founders. You can find out more about us by visiting our website and our notion page.
Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. Our team is building and deploying edge software and cloud services for real-time customer facing products as well as internal big data tools. We look for people with a depth of expertise and experience in one of these areas, and with the intellectual curiosity for interacting with, learning from, and teaching world-class experts in areas outside their expertise.
We currently have a full-time opportunity as a mid-level Data Scientist at Plato Systems. In this role, you will work closely with our data scientists, engineering team, and Product Management, & work collaboratively with them to transform data generated by our fleet of edge devices into data products that provide actionable insights to our end customers. A successful candidate for this role will be someone who can understand business needs, excels at exploratory data analysis, can discover and generate insights from the data, and create visualizations and dashboards that inform both internal product team as well as our end customers.
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