Principal Machine Learning Engineer SQL RAG Systems

Job Description Your Career We are seeking a highly skilled Principal Machine Learning Engineer with expertise in advanced ML techniques, data analytics, and the design and deployment of high-performance Retrieval-Augmented Generation (RAG) systems. This role is ideal for someone passionate about leveraging machine learning to solve complex problems at scale. Your Impact Design and implement cutting-edge machine learning models for RAG systems with a focus on scalability and real-world application performance Develop algorithms to optimize retrieval, inference, and response quality, including reranking techniques Collaborate on projects involving NLP, Recommender Systems, and large language models (LLMs) Work with open-source agent frameworks like LangChain, LLamaIndex or Langgraph for advanced AI solutions Design and manage scalable database solutions (SQL, OLAP, OTAP) to support high-performance analytics Fine-tune ML models and implement formal methods toolchains when necessary Communicate effectively across teams, influencing stakeholders at all organizational levels Qualifications: Your Experience 8+ years of industry experience in machine learning, data analytics, and software engineering Strong expertise in Python, PyTorch, TensorFlow, and foundational computer science concepts (algorithms, data structures, system design) Familiarity with vector search technologies and frameworks in RAG systems Proficiency with SQL databases and experience handling performance, scalability, and optimization challenges M.S. or Ph.D. in Computer Science, Mathematics, Electrical Engineering, or a related field (or equivalent military experience) Preferred Proven experience designing and deploying RAG systems for real-world use cases In-depth understanding of retrieval optimization, reranking algorithms, and model fine-tuning techniques Strong background in NLP, recommender systems, and working with LLMs Excellent teamwork and communication skills with the ability to work effectively as both a self-driven individual contributor and team player The Team Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. We are constantly innovating – challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before. We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

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