Corelight is looking for a Sr. Machine Learning Engineer to join Corelight Labs. You will explore, design, build, and deliver machine learning solutions for challenging network security problems, playing a crucial role in developing AI capabilities for our products.
What You'll Do
- Lead 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.
What We're Looking For
- 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.
Nice to Have
- Experience adopting and using Agile development tools and methodologies, and working in a distributed team.
- Experience with local deployments and fine-tuning of LLMs.
- Cybersecurity experience, specifically work within a security operations center (SOC). Familiarity with network security is a plus.
- 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.
Technical Stack
- Languages & Libraries: Python, Pandas, Scikit-Learn, Keras, PyTorch, Tensorflow
- Infrastructure & Tools: Docker, Kubernetes, Kubeflow, Cortex, Seldon, BentoML, Apache Spark, Databricks
- Cloud: AWS EC2, AWS S3, AWS Cloudwatch
Team & Environment
You will work within the Corelight Labs team, collaborating closely with data scientists and network security experts.
Benefits & Compensation
- Salary: $203,000 - $230,000 USD
- Equity award
Work Mode
This role is open to global candidates.
Corelight is committed to driving diversity of background and thought.
