About the company
Our client is a cybersecurity company.
The role
Raydar is recruiting for this role on behalf of our client. Own the machine learning and applied AI layer of a software platform, from early research through production delivery. The work spans text-processing pipelines, automated decision workflows, evaluation tooling and custom models, with a high degree of autonomy and close collaboration with a small engineering team.
What you'll do
- Build pipelines that collect public technical documents, process unstructured text and extract structured data from it.
- Design and ship automated workflows powered by large language models that reach a verdict on a given technical question.
- Create and refine evaluation systems that measure the quality of model-generated outputs and automated decisions.
- Develop classifiers and NLP models that constrain and validate language model output as real-world data accumulates.
- Lead exploratory research from scoping ambiguous problems through to production-ready solutions.
- Work with teammates to turn research results into product features.
Requirements
What we're looking for
- Roughly 8 to 12 years of experience in software or machine learning engineering.
- Has shipped production systems that turn large bodies of free-form documents into clean, structured data.
- Applied machine learning experience from before the LLM era, such as text, classification or recommendation models.
- Strong Python skills and the ability to independently assemble an end-to-end LLM workflow using vendor APIs or SDKs.
- Experience building evaluation systems for LLM-driven workflows, using existing tools or a custom harness.
- Hands-on experience building text models with a standard framework such as PyTorch or scikit-learn.
- Genuine interest in security research problems.
- Based in the US or Canada, in a location away from the largest coastal tech hubs.
- Willingness to travel lightly, about once per quarter, for team meetups or conferences.
Bonus points
- Prior experience at a security company or hands-on work with vulnerability data.
Benefits
Compensation and benefits
- Base salary: USD 200,000 to 275,000 per year
- Equity
Location and work model
- Remote (US or Canada)
- Full-time
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