Machine Learning Engineer
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Job Summary
To drive innovation in cybersecurity, the full-time remote Machine Learning Infrastructure Engineer will design and build Agentic AI frameworks and scalable LLM inference infrastructure to support Autonomous SOC applications.
Key responsibilities
- Design and build frameworks for LLM-based agents to execute SecOps tasks within the Open XDR platform
- Develop scalable infrastructure for efficient LLM inference and resource management across hosting providers
- Collaborate with cross-functional teams to align infrastructure with evolving product needs
Required qualifications
- Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience
- 2 years of experience in software development or 1 year with an advanced degree in an industry setting
- 2 years of experience with data structures or algorithms in academic or industry settings
- 2 years of experience developing backend infrastructure, distributed systems, and APIs for MLOps projects
- Experience with cloud computing technologies, including containerization and orchestration (Docker, Kubernetes, etc.)
Complete Job Description
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