Principal Machine Learning Engineer

Meet the Team

We are an agile team with a startup feel and a strong bias for action. We move fast, embrace failure as part of the process, and stay focused on solving real‑world problems for defenders on the front lines. Our team blends deep expertise in AI, cybersecurity, and platform engineering. We are driven by a shared belief that the only way to outpace hackers is through AI advancements that free up humans to tackle real threats and more challenging problems.

This is a place for builders who thrive in ambiguity, challenge the status quo, and care deeply about making a meaningful impact. If you’re energized by tough problems, excited to shape the future of cyber defense, and eager to work alongside passionate experts, you’ll feel right at home.

• Design and build agentic workflows that combine detection signals, context, and playbooks to automate threat triage and response.

• Prototype and test new AI features —from enrichment agents to incident summarization—working closely with security SMEs to validate real-world utility.

• Develop an AIOps pipeline to enable rapid experimentation with prompts, models, and RAG systems, using clear, measurable success criteria to evaluate iterations.

• Evaluate model outputs for accuracy, reliability, and usability, then prototype and deploy improvements based on structured feedback and testing.

• Collaborate with product and platform teams to co‑design AI‑enhanced TDIR workflows that are intuitive, scalable, and immediately useful to analysts.

• Contribute to the core architecture powering AI‑native security operations, helping to shape how Splunk and Cisco scale trusted automation across the enterprise.

• Security Operations Experience – Understanding of security operations concepts, including detection, triage, investigation, and response.

• Security Telemetry Fluency – Comfortable working with common data sources such as endpoint logs, network traffic, authentication events, or cloud audit trails—and understanding how they’re used in detection and investigation workflows.

• Senior‑Level Python Development – Consistent record building scalable backend services, APIs, and automation workflows in Python.

• Dev Ops/Sec Ops Practices – Proficient with CI/CD pipelines, version control (Git Hub/Git Lab), Jira, and automated testing frameworks.

• Security Automation – Experience building and integrating with product APIs to drive Sec Ops efficiency.

• Cross‑Functional Collaboration – Comfortable partnering with product managers, security SMEs, and engineers to iterate quickly and deliver impactful solutions.

• Prompt Engineering & LLM Integration – Skilled in crafting, testing, and optimizing prompts for large language models. Ideally, you have contributed to or shipped an AI‑powered feature or product, and understand the nuances of integrating LLMs into real‑world workflows—including usability, performance, and trust considerations.

• AI Evaluation & Experimentation – Capable of designing experiments to evaluate LLM output for accuracy, usability, performance, and cost

• SOAR/SIEM Familiarity – Experience working with security data and/or tools such as SIEM/SOAR platforms (e.g., Splunk), whether from a practitioner, developer, or automation perspective.

• Splunk Enterprise Security (ES) Experience – Familiarity with ES architecture, correlation searches, notables, and risk‑based alerting. Bonus if you’ve worked with Splunk’s APIs, internals, or have experience developing on the Splunk platform.

• Security Operations Background – Former Tier 3 SOC analyst or equivalent, with experience automating Sec Ops workflows and building scalable, resilient detection infrastructure.

• RAG and Vector Search Implementation – Hands‑on experience developing retrieval‑augmented generation pipelines and working with vector databases (e.g., FAISS, Pinecone).

• LLM Fine‑Tuning and Embeddings – Exposure to fine‑tuning large language models or generating custom embeddings for domain‑specific tasks in cybersecurity.

• Security Data Engineering – Experience building and maintaining pipelines for ingesting, parsing, and normalizing…