Overview Join to apply for the Sr. Machine Learning Engineer role at Corelight . By making evidence the heart of security, we help customers stay ahead of ever-changing cyber-attacks. Corelight is a cybersecurity company that transforms network and cloud activity into evidence used to proactively hunt threats, accelerate response to cyber incidents, gain complete network visibility and create analytics using machine-learning and behavioral analysis tools. Corelight offers traditional and SaaS-based formats and is the fastest-growing Network Detection and Response (NDR) platform in the industry, leveraging Open Source projects in addition to our own technology to deliver Intrusion Detection (IDS), Network Security Monitoring (NSM), and Smart PCAP solutions. Our customers include sensitive, mission-critical large enterprises and government agencies worldwide. We are building a world-class team to drive research through data science and security expertise. The ideal candidate will use strong analytic skills and awareness of network and cloud security data to drive novel, durable, and effective threat detection. You will contribute to how we extend the data to enable new types of analysis as needed. You will be able to look back a year from now and say, "I helped to build that" and "We are generating insights that no one else in the world has achieved." 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 the ML capabilities powering our product offerings. Responsibilities Contribute to the full range of stages of 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. Minimum Qualifications 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 systems. Experience in DevOps and/or MLOps: CI/CD, automation of ML workflows, and deployments to production environments. Understanding of data preprocessing, feature engineering and machine learning algorithms. 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. Preferred Qualifications Experience adopting and using Agile development tools and methodologies, and working in a distributed team. Experience with local deployments and fine-tuning of LLMs. Familiarity with the network security domain. Experience using feature stores and ML frameworks like Kubeflow, Cortex, Seldon, or BentoML. Experience in designing and implementing data pipelines using Apache Spark. Experience with cloud computing, especially Databricks and AWS Services (EC2, S3, CloudWatch). Experience with experiment tracking and reproducibility tools. We are proud of our culture and values—driving diversity of background and thought, low-ego results, applied curiosity and tireless service to our customers and community. Corelight supports a geographically dispersed yet connected workforce with employees working from home and office locations worldwide. We are growing rapidly with investments from top-tier venture capital organizations. Check us out at www.corelight.com Notice of Pay Transparency: The compensation for this position may vary depending on location, skills and experience. Depending on seniority, a portion of compensation may be commission-based or a discretionary bonus. Equity and additional benefits are also awarded. Compensation Compensation Range: $203,000—$242,000 USD Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Technology, Information and Internet We’re sharing opportunities to grow and apply ML in security. Referrals increase your chances of interviewing at Corelight. Get notified about new Machine Learning Engineer roles in San Francisco, CA.

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