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
Skills Required
- Roughly 8 to 12 years of experience in software or machine learning engineering
- Experience shipping production systems that convert large bodies of free-form documents into structured data
- Applied machine learning experience predating the LLM era, such as text, classification, or recommendation models
- Strong Python skills
- Ability to independently assemble an end-to-end LLM workflow using vendor APIs or SDKs
- Experience building evaluation systems for LLM-driven workflows
- Hands-on experience building text models with PyTorch, scikit-learn, or a standard framework
- Genuine interest in security research problems
- Based in the US or Canada, away from the largest coastal technology hubs
- Willingness to travel approximately once per quarter
- Prior experience at a security company or hands-on work with vulnerability data
What We Do
Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.
