Applied Machine Learning Engineer - NLP

Applied Machine Learning Engineers at SambaNova Systems are our experts at developing and deploying machine learning models. They stay up-to-date with the latest academic research in deep learning and run experiments to investigate statistical and systems tradeoffs. They are responsible for driving innovation in models and algorithms that run on the SambaNova platform and provide an ML-focused perspective to other teams. Applied machine Learning (ML) engineers therefore often operate at the intersection of algorithms and software/hardware systems at SambaNova.
SambaNova leads the trend of large modern foundation NLP models for industrial domain-specific applications. Our NLP team innovates from strategic product pathfinding to large scale production. We are excited to have talents on board, pushing towards democratizing the modern NLP capability in real-world use cases. 

Specific Responsibilities:

• Building large language models (LLM) on SambaNova’s software / hardware stack
• Implementing NLP applications and optimizing the statistical performance and system efficiency
• Deploy the NLP application to low-code solution platform for vertical industries
• Software & hardware co-design for fast training and inference in large NLP models. 
• Applied research to solve key data and compute requirements in democratizing NLP models to real-world use cases for customer success

Skills and Qualifications:

• Experience with one or more deep learning frameworks like TensorFlow, PyTorch, Caffe2, or Theano
• Deep theoretical or empirical understanding of deep learning
• Experience building and deploying machine learning models
• Experience in Python and/or C++
• Strong analytical and debugging skills
• (Optional) Interest in high performance machine learning systems and performance optimization