Obsidian Security
Comprehensive Security for Your SaaS Applications
Advanced Threat Protection • Insider Threat Protection • Threat Detection • Threat Response • Automated Intelligence
51 - 200
Senior Software Engineer LLM Services
May 22
🏢 In-office - Los Angeles
Obsidian Security
Comprehensive Security for Your SaaS Applications
Advanced Threat Protection • Insider Threat Protection • Threat Detection • Threat Response • Automated Intelligence
51 - 200
Description
• In your role as a Senior Software Engineer, you will focus on leveraging and optimizing Large Language Models (LLMs) along with the implementation of advanced AI technologies. • 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.
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.
Benefits
• Competitive compensation with equity and 401k • Comprehensive healthcare with dental and vision coverage • Flexible paid time off and paid holiday time off • 12 weeks of new parent or family leave • Personal and professional development resources
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