Principal Engineer
Foundation NLP
Confirmed live in the last 24 hours
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

$1.1B

Founded

2017

Headquarters

Palo Alto, California

Growth & Insights
Headcount

6 month growth

1%

1 year growth

-10%

2 year growth

-1%
Locations
Palo Alto, CA, USA • Austin, TX, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Tensorflow
Pytorch
Theano
Natural Language Processing (NLP)
CategoriesNew
AI & Machine Learning
Software Engineering
Requirements
  • 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++
Responsibilities
  • 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.
Desired Qualifications
  • Experience working in a high-growth startup
  • A team player who demonstrates humility
  • Action-oriented with a focus on speed & results
  • Ability to thrive in a no-boundaries culture & make an impact on innovation