Corelight is addressing the challenge of staying ahead of evolving cyber-attacks by transforming network and cloud activity into actionable evidence. The company aims to provide elite defenders with tools for threat hunting, incident response, and network visibility using machine learning and behavioral analysis.
Requirements
- 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.
- Experience adopting and using Agile development tools and methodologies, and working in a distributed team.
Responsibilities
- 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.
Other
- Strong appreciation for our core values: low ego results, tireless service, and applied curiosity.
- Excellent communication skills to work effectively in a team.
- Degree in Computer Science or related fields, or equivalent experience.
- Compensation Range $203,000—$230,000 USD.
