# Senior Machine Learning Engineer > Raydar · United States (Remote) · Full-time · Posted 2026-09-30 **Salary:** USD 200,000–275,000 **Workplace:** remote ## Description 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 ## Apply [Apply at Raydar](https://apply.workable.com/raydar/j/D600FC45CB/apply) --- Powered by [Workable](https://www.workable.com)