Senior Machine Learning Engineer

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.

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.

Compensation and benefits

- Base salary: USD 200,000 to 275,000 per year

- Equity

Location and work model

- Remote (US or Canada)

- Full-time