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Key job responsibilities
What will you do?
- Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms
- Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics
- Train custom Gen AI models that beat SOTA and paves path for developing production models
- 2+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Strong foundation in relevant mathematical concepts (linear algebra, calculus, etc.)
- Experience in professional software development
- Prior experience in productionizing ML models and managing their full lifecycle from development to deployment
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