We are establishing the first distributed Al infrastructure dedicated to personalized Al. The evolving needs of a data-driven society are demanding scalability and flexibility. We believe that the future of Al is distributed and enables real-time data processing at the edge, closer to where data is generated. We are building a future where a company's data and IP remains private and it's possible to bring large models directly to consumer hardware without removing information from the model. What we're trying to build: What we're aiming to build is clients and SDKs to provide customers with access to our platform for AI training and inference. The span of projects includes infrastructure orchestration SDK, on-device ML inference SDK, end user clients for data collection and platform interactions. We already have an excellent team of data scientists and software engineers that have been working on the backend infrastructure. What you'd specifically be working on: The candidate would join the team and contribute to current end user client projects. There will be opportunities to work in macOS and mobile targets depending on business needs.
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Job Type
Full-time
Career Level
Senior
Industry
Publishing Industries
Education Level
No Education Listed
Number of Employees
51-100 employees