Senior Machine Learning Engineer, Corelight

• The ideal candidate will use their strong analytic skills and awareness of network and cloud security data to drive novel, durable, and effective threat detection
• Strong appreciation for our core values: low ego results, tireless service, and applied curiosity
• 5+ years experience developing, optimizing, troubleshooting, and maintaining large-scale machine learning/AI or systems
• Experience in DevOps and/or MLOps: continuous integration and delivery, automation of ML workflows, and deployments to production environments
• Experience deploying/building LLM Agents for agentic workflows
• Understanding of model testing and validation techniques for ensuring model quality and performance
• Proficient in Python and data science libraries (Pandas, Scikit-Learn, Keras, PyTorch, Tensorflow)
• Experience using Docker and/or Kubernetes, and containerized applications
• Excellent communication skills to work effectively in a team
• Degree in Computer Science or related fields, or equivalent experience

Desirable

• We are building a world class and uniquely targeted team to drive research through data science and security expertise
• As a Sr Machine Learning Engineer within Corelight Labs, you will work closely with data scientists and network security experts to explore, design, build and deliver machine learning solutions for challenging network security problems
• You will play a crucial role in the exploration and development of full scope AI capabilities powering our product offerings
• Lead to the full range of development stages for AI/ML projects, from early explorations to productization and maintenance
• Work closely with data scientists and network security experts to design and implement scalable ML pipelines for large datasets
• Design and implement strategies to deploy LLMs and for fine-tuning
• Conduct experiments, analyze results and resource consumption using various metrics and visualization techniques
• Drive adoption of ML development best practices in code health, quality, test stability and maintainability
• Participate in technical discussions within the Labs team and collaborate with other teams across the organization
• Work in an Agile development team focused on exploring and delivering ML use cases