• Bachelor's or Master's degree in engineering or science fields
• 5-10 years of hands-on engineering experience in machine learning
• Experience with one or more deep learning frameworks like TensorFlow, PyTorch, Caffe2, or Theano
• A deep theoretical or empirical understanding of deep learning
• Experience building and deploying machine learning models
• Strong analytical and debugging skills
• Experience with either one of Large Language Models, Multilingual Models, Semantic Search, Summarization, Data Pipelines, Domain Adaptation (finance, legal, or bio-medical), and conversational agents
• Experience in leading small teams
• Experience in Python and/or C++

Desirable

• This role presents a unique opportunity to shape the future of AI and the value it can unlock across every aspect of an organization’s business and operations, including innovating from strategic product pathfinding to large-scale production
• Design and implement large-scale data pipelines that feed billions of high-quality tokens into LLMs
• Continuously improve SambaNova’s LLM by exploring new ideas, including but not limited to new modeling techniques, prompt engineering, instruction tuning, and alignment
• Curate and crawl the necessary dataset to induce domain specificity
• Collaborate with product management and executive teams to develop a roadmap for continuous improvement of LLM and incorporate new capabilities
• Work closely with the product team and our customers to translate product requirements into requisite LLM capabilities
• Expand LLM capabilities into new languages and domains
• Develop applications on top of LLMs including but not limited to semantic search, summarization, conversational agents, etc