Machine Learning Engineer
Root Access(1 month ago)
About this role
A Machine Learning Engineer at Root Access is tasked with designing and developing machine learning systems to optimize product performance through the implementation of various ML algorithms and conducting experiments. This role requires proficiency in PyTorch, AWS for scalable deployment, and familiarity with Agentic AI frameworks and RAG systems. The engineer will leverage strong ML foundations, handle messy data, and ensure that ML applications integrate seamlessly within a React-based product context, all while exhibiting ownership and initiative in a fast-paced startup environment.
Required Skills
- Machine Learning Systems
- ML Algorithms
- Statistical Analysis
- Model Training
- Data Management
- PyTorch
- AWS
- Agentic AI Frameworks
- Recommender Systems
- Python
+6 more
About Root Access
rootaccess.aiRoot Access is a pioneering technology company focused on providing modern developer tools tailored specifically for embedded engineers. With a mission to streamline the process of coding for hardware, Root Access enables users to develop, debug, and deploy firmware more efficiently, thus addressing the challenges posed by outdated and fragmented tools. Their platform is AI-native, facilitating the auto-generation of code and seamless integration with various hardware systems to enhance productivity and collaboration.
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