Principal Engineer
Applied LLM
Updated on 2/27/2024
SambaNova Systems

51-200 employees

Hardware for AI
Company Overview
SambaNova's mission is to enable the future of AI today by providing purpose-built deep learning solutions, delivered as a service and deployable in weeks rather than years to accelerate AI adoption and value creation.
AI & Machine Learning
Financial Services
Government & Public Sector

Company Stage

Series D

Total Funding





Palo Alto, California

Growth & Insights

6 month growth


1 year growth


2 year growth

Palo Alto, CA, USA
Experience Level
Desired Skills
Data Structures & Algorithms
Natural Language Processing (NLP)
AI & Machine Learning
  • Bachelor’s or higher degree in Computer Science, Engineering, Applied Mathematics, Physics, Statistics or a related field
  • 3-5 years of relevant experience in Machine Learning with a focus on natural language processing
  • Proficiency in Python, data structures, algorithms, and machine learning
  • Experience in ML frameworks such as PyTorch and fine-tuning open-source models
  • Good communication and documentation skills
  • Experience in machine learning productization and pipeline development in software engineering
  • 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
  • Integrate the latest AI research into SambaNova’s products
  • 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
  • Collaborate with cross-functional software and hardware teams to innovate customer-centric LLM applications
  • Mentor junior ML engineers on the technical side 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
Desired 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
  • 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