Senior Machine Learning Engineer

Andesite, a well-funded cybersecurity startup that has raised over $38M from investors like General Catalyst and Red Cell Partners, is seeking a Senior Machine Learning Engineer to help transform how humans and AI collaborate in cybersecurity. The role focuses on building and deploying sophisticated AI systems, including LLMs and RAG architectures, to defend against cyber threats. The ideal candidate will have strong ML engineering experience, with expertise in building production-scale AI systems.

The position offers an opportunity to work at the intersection of AI and cybersecurity, developing cutting-edge solutions that combine machine learning with security expertise. You'll be responsible for the full ML lifecycle, from development to production, while working alongside product managers, threat analysts, and other engineers. The role requires staying current with the latest research in machine learning and cybersecurity, implementing new findings into core technology.

This is a remote position based out of Seattle, offering a competitive compensation package ($180K-$210K) plus equity, comprehensive benefits, and flexible work arrangements. The company culture emphasizes work-life balance with unlimited PTO and a remote-first environment. If you're passionate about using AI to solve complex security challenges and want to join a team of experienced cyber and security experts, this role presents an exciting opportunity to make a significant impact in the cybersecurity space.