Principal Engineer, Applied LLM - SambaNova Systems

The Opportunity

Join SambaNova Systems and be at the forefront of AI innovation. As a Principal Engineer in Applied NLP, you will lead efforts to integrate advanced AI into diverse industries, from enterprise to government sectors. This role is for visionaries eager to make a profound impact by transforming how AI technologies are applied in real-world scenarios.

Working at SambaNova

At SambaNova, our dedication goes beyond merely innovating in AI technology; we actively bring these innovations into the real world each day. 

You will play a key role in crafting highly capable generative AI models and solutions, designed to meet the diverse needs of sectors ranging from enterprise to government.

Our culture thrives on creativity and advancement, and your expertise will be crucial in driving the progress of generative AI. We focus on delivering solutions that excel in accuracy, efficiency, safety, accessibility, and robustness for practical applications. As a senior member of our team, you will not only contribute to the evolution of generative AI capabilities but also significantly shape the future of Enterprise AI.

Responsibilities

• Lead projects leveraging Large Language Models (LLMs) to solve complex customer challenges.
• Serve as a bridge between customer needs and technological capabilities, designing tailored AI solutions.
• Experience in ML/LLM product development, pipeline development and in transitioning models to market-ready products.
• Integrate the latest AI research into SambaNova’s products, ensuring they remain at the industry's cutting edge.
• Uphold software engineering standards, focusing on robust, efficient, and scalable AI solutions.
• Advance the development of LLMs, develop ML methods to enable customers to succeed in training high quality models on their data (eg - Domain Specific Training,  Self Play, Synthetic Data, Tabular Data, RLHF/RLAIF, etc)
• Collaborate with cross-functional software and hardware teams to innovate customer-centric LLM applications.
• Mentor junior ML engineers on the technical side, bring them up to speed, and contribute to knowledge-sharing initiatives.
• Collaborate with customers, internal teams and external partners to analyze real-world use cases and business problems within different domains.
• Hands on coding and technical tasks.
• Work with diverse data types: textual, unstructured, and tabular data, multimodal data.
• Building 0 to 1 impactful applications from unique HW SW full stack. 

Basic Qualifications

• Bachelor’s or higher degree in Computer Science, Engineering, Applied Mathematics, Physics, Statistics or a related field with a minimum of 3-5 years of relevant experience in Machine Learning, with a focus on natural language processing.
• Proficient in Python, with a solid foundation in data structures, algorithms, and machine learning.
• Proficiency in ML frameworks such as PyTorch and familiarity with fine-tuning open-source models like Llama 2 and Mistral.
• Good communication skills for diverse audiences, coupled with strong documentation skills.
• Experience in machine learning productization and pipeline development in software engineering. Demonstrated ability to apply research in AI and LLMs to practical applications.

Preferred Qualifications

• Proven expertise in LLM/NLP projects to real-world problems.
• Experience in Model Training and Inference at scale, Synthetic Data, Information Retrieval, Machine reading comprehension, RLHF/RLAIF, Weak-Supervision, Knowledge Graph, Software-Hardware Co-design, Question Answering, Copilot. Experience with tools like DeepSeed, vLLM.
• Solid experience in contributing to AI or NLP research, industry or open-source projects
• Capacity to drive technical and business impact, experience in using advanced AI solutions to reshape/upgrade industry practices and open new avenues.
• Previous mentoring roles in AI/NLP/Search projects. Demonstrated ability to lead and manage sizable teams effectively.

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Last updated: 1 hours ago