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Full-Time

Principal Software Engineer LLM Services

Confirmed live in the last 24 hours

Obsidian Security

Obsidian Security

51-200 employees

Provides SaaS security and compliance solutions

Cybersecurity

Senior, Expert

Palo Alto, CA, USA

Category
Natural Language Processing (NLP)
AI & Machine Learning
Software Engineering
Required Skills
Python
Natural Language Processing (NLP)
Requirements
  • Bachelor's degree in Computer Science, Engineering, or related field. Advantage for Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing.
  • Must have working experience within Cyber Security and/or Compliance.
  • Experience with LLMs and Python: Extensive experience with python and proficiency in leveraging LLM's.
  • Expertise in Parallel Training and GPU Cluster Management: Some background in parallel training methods and managing large-scale training jobs on GPU clusters.
  • Analytical and Problem-Solving Skills: Ability to address complex challenges in model training and optimization.
  • Leadership and Mentorship Capabilities: Proven leadership in guiding projects and mentoring team members.
  • Communication and Collaboration Skills: Effective communication skills for conveying technical concepts and collaborating with cross-functional teams.
  • Innovation and Continuous Learning: Passion for staying updated with the latest trends in AI and machine learning.
Responsibilities
  • Development and Optimization of LLMs: Implement and fine-tune state-of-the-art Large Language Models for various applications, focusing on performance and accuracy.
  • Evaluating Model Performance: Conduct rigorous evaluations of LLMs, assessing effectiveness, efficiency, and business alignment.
  • Integration of Advanced AI Technologies: Implement Retrieval-Augmented Generation (RAG), function calling, and code interpreter technologies to enhance the capabilities of Large Language Models.
  • Research and Development: Stay abreast of the latest advancements in machine learning, particularly in LLMs, LLM agents, and large-scale neural network training.
  • Data and Model Parallel Training: Utilize data and model parallel training techniques for efficient handling of large-scale models.
  • GPU Cluster Management for Training: Oversee extensive training jobs on GPU clusters, ensuring optimal resource utilization for complex tasks.
  • Cross-Functional Collaboration and Leadership: Work with ML engineers, data scientists, and product teams, providing guidance and mentorship.
  • Documentation and Reporting: Maintain detailed documentation of methodologies, models, and results, communicating findings across the organization.

Obsidian Security focuses on protecting Software as a Service (SaaS) applications from cybersecurity threats and ensuring compliance with regulations. Their platform consolidates data from various SaaS applications into a unified knowledge graph, allowing businesses to monitor risk and compliance without needing deep expertise in each application. They offer services such as continuous compliance monitoring, incident response, and third-party SaaS risk monitoring, which help companies manage their SaaS security effectively and cost-efficiently. What sets Obsidian apart from competitors is its ability to learn from each threat it mitigates, continuously improving its solutions based on extensive research and expertise in SaaS security. The goal of Obsidian Security is to provide businesses with a reliable and efficient way to safeguard their SaaS applications and reduce risks associated with third-party integrations.

Company Stage

Series C

Total Funding

$119.5M

Headquarters

Newport Beach, California

Founded

2017

Growth & Insights
Headcount

6 month growth

9%

1 year growth

29%

2 year growth

69%
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Simplify's Take

What believers are saying

  • Recognition as a Strong Performer by Forrester Wave highlights Obsidian's robust market position and potential for growth.
  • Availability on platforms like Google Cloud Marketplace and CrowdStrike Marketplace increases accessibility and potential customer base.
  • Strategic appointments, such as the former Global CISO of Wells Fargo joining the board, bring valuable expertise and strengthen leadership.

What critics are saying

  • The rapidly evolving cybersecurity landscape requires constant innovation to stay ahead of emerging threats, posing a continuous challenge.
  • Dependence on partnerships for market expansion could be risky if these alliances falter or competitors form stronger collaborations.

What makes Obsidian Security unique

  • Obsidian Security's focus on SaaS security and its ability to consolidate and normalize data into a unified knowledge graph sets it apart from traditional cybersecurity firms.
  • Their continuous improvement cycle, which learns and enhances with every threat mitigated, provides a dynamic edge over static security solutions.
  • Partnerships with industry leaders like CrowdStrike and Databricks enhance their credibility and expand their market reach.