SambaNova Systems
ML Features Solutions Engineer
Austin, Texas, United States; San Jose, California, United StatesFrom $270kmidAdded 1 month ago
About this role
The ML Features Solutions Engineer will drive the development and enhancement of machine learning features for SambaNova's generative AI platform. This role bridges the gap between ML research and product engineering, ensuring reliable deployment of ML solutions for enterprise customers.
What you'll do
- Design and implement core ML features including model optimization
- Optimize model performance on SambaNova hardware
- Develop features such as Function Calling and Structured Output
- Create end-to-end ML solutions for customer adoption
- Translate cutting-edge ML research into deployable features
- Establish benchmarks for ML features in production
What they're looking for
- Master's degree in a relevant field
- 5+ years in ML engineering or applied research
- Experience with large language models and transformers
- Proficient in Python and deep learning frameworks (PyTorch required)
- Knowledge of model optimization techniques
- Understanding of LLM inference optimization
- Experience deploying ML models at scale
- Track record of translating research into production
Benefits
- Work on cutting-edge ML features
- Direct impact on global product capabilities
- Collaboration with top ML researchers and engineers
- Bay Area location for close collaboration
- Competitive compensation and benefits
- Opportunity to influence the future of enterprise AI
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SambaNova Systems
SambaNova Systems builds AI inference and machine learning platforms with specialized compiler infrastructure and runtime optimization. The company is hiring for compiler engineers, software engineers, runtime engineers, and ML solutions engineers to enhance its AI platform capabilities, as well as process and quality engineers for manufacturing excellence.
- Website
- sambanova.ai