# Machine Learning Engineer > Raydar · San Francisco, United States · Full-time · Posted 2026-11-07 **Salary:** USD 140,000–300,000 **Workplace:** on_site ## Description About the company Our client is a fintech company. The role Raydar is recruiting for this role on behalf of our client. Design, train and deploy machine learning models that make real-time risk calls in a payments setting, owning the data pipelines, evaluation and metrics behind them. The role leads modeling work as an individual contributor, with room to build and manage a team over time. What you'll do \- Own the data pipelines and modeling design for core models, including a small language model used for contextual understanding. \- Convert plain-language user approvals into structured, checkable limits covering vendors, amounts, items and time windows. \- Score automated actions in real time to flag drift, substitutions, injection attempts and overspending before funds move. \- Make risk calls from identity, user history, device and vendor signals, choosing whether to approve, request confirmation or refuse. \- Own evaluation, labeling and metrics, tracking false approvals and false blocks as product measures. \- Ship models into production paths with tight latency and cost budgets. ## Requirements What we're looking for \- 2 to 5 years of experience in machine learning or related engineering work. \- A hands-on record of training machine learning or language models, ideally including one that has operated live and driven consequential calls for users. \- Proficiency in Python and TypeScript. \- Sound judgment about where large language models are reliable, where they fail, and how to measure it. \- A habit of designing evaluations before building models, and of shipping models they have built themselves. \- Strong working knowledge in one specialty: scoring suspicious activity for fraud, building rule engines that grant or deny access, or testing and safeguarding language model outputs. \- Comfort with a roughly six-day, in-office week (Sunday through Friday). ## Benefits Compensation and benefits \- Base salary: USD 140,000 to 300,000 per year \- Health, dental and vision coverage Location and work model \- San Francisco, California, United States \- On-site, roughly six days a week in office (Sunday through Friday), with flexibility on weekends \- Full-time ## Apply [Apply at Raydar](https://apply.workable.com/raydar/j/6765125A92/apply) --- Powered by [Workable](https://www.workable.com)