MTS- Machine Learning

Company: Ethereum Technologies LLC
Location: San Jose
Posted on: May 24, 2025

Job Description:

Xi IOT platform provides rapid methods for developing and deploying Intelligent Applications that will enable drawing intelligent insights from data generated by a variety of data-sources.Our MTS ML Engineer will be responsible for building system components which simplify running ML Models on a variety of software frameworks (TensorFlow, OpenVINO and so on) and hardware platforms built over x86, ARM processors, GPU, System On Chip devices like Intel Movidius and a variety of form factors to serve a myriad of use-cases across different industry verticals like Manufacturing, Retail, Smart Cities etc.Responsibilities:

• Be part of the small team that's developing AI Inferencing as a Service.
• Design and implement various ML Workflows and Processes, and optimize performance for efficiency and resource utilization.
• Build simple API for application developers to build powerful and easy to maintain ML applications on Xi IoT Platform.
• Design, implement and optimize ML modules for a variety of hardware designed for accelerated machine learning training and inferencing - GPUs, FPGAs, and AI Accelerators like Intel Movidius.
• Help build applications by bundling ML Modules for specific problems like, but not limited to: Smart Manufacturing, Smart City, Smart Building, Smart Office, Smart Retail, Smart Healthcare and so on.
• Design and Optimize data flows into ML processing modules.Equal Opportunity EmployerETHEREUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status.
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Keywords: Ethereum Technologies LLC, Richmond , MTS- Machine Learning, Other , San Jose, California