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Sr. Software and Machine learning Engineer
2 weeks ago
- Support new technology initiatives and implement leading-edge technologies with best practices focus on software systems
- Help develop software for computer systems research involving design space exploration, hardware-software co-design, computer vision, machine learning and other research domains
- Design and implement demonstration systems; create new features, from a technical specification or a reference implementation; conduct demo system maintenance and bug fixing
- Prototype, implement and evaluate application algorithms; optimize application or algorithm performance through analysis, code refactoring, and system tuning
- Optimize models and algorithms until they reach desired evaluation metrics
- Communicate complex ideas and testing results effectively, both orally and in writing
Combination of experience and degree (a BS, MS or PhD) in Computer Science, Electrical/Computer Engineering, Operations Research, or related fields
- Ideal candidate would be a recent research graduate
3+ years software development with hands-on experiences in a software/machine learning engineering role
Proficient and productive in programming languages e.g., Python, C/C++ with an ability to learn new languages and systems
Experience with Client/DL algorithms with frameworks such as Tensorflow, Pytorch, Scikit-learn, Spark MLlib.
Experience with VLSI, ASIC design is a plus
Experience with Linux and Docker environments is a plus
Advanced understanding of technical troubleshooting approaches, tools and techniques, and the ability to anticipate, recognize, and resolve technical problems
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