# Founding Machine Learning Engineer > Raydar · San Francisco, United States · Full-time · Posted 2026-10-21 **Salary:** USD 175,000–300,000 **Workplace:** on_site ## Description About the company Our client is a software company. The role Raydar is recruiting for this role on behalf of our client. Take ownership of a brand-new product and the infrastructure behind it, building AI-powered systems that run reliably in production. Partner directly with customers and help set engineering standards, team culture and the technical direction. What you'll do \- Design an AI agent layer with built-in review and validation steps before outputs reach people or other systems. \- Build secure connectors and a runtime that can interpret complex enterprise software environments. \- Create developer-facing tooling and a code analysis capability for modernizing older codebases. \- Set up low-latency model serving with detailed monitoring of usage and performance. \- Take language-model pipelines, information retrieval and light model tuning from prototype to production where they add clear value. \- Collaborate directly with customers on high-impact projects. \- Help shape the engineering bar, team culture and product roadmap. ## Requirements What we're looking for \- Experience working on enterprise or B2B AI products. \- Foundational machine learning experience, whether from research, school internships or full-time work. \- A track record of shipping production code in a shared team codebase. \- Experience with large language models and AI platforms, including building agent frameworks and evaluating models or agents. \- Hands-on experience coordinating multi-step AI agent systems and retrieval-based approaches. \- Bachelor's degree in computer science or machine learning from a top-tier university. \- Regular use of AI tools in daily work, with practical views on how they can improve engineering and operations. \- Strong ownership, clear communication and comfort deciding with incomplete information. \- Ability to move quickly and carefully, and willingness to pick up new technologies. Bonus points \- Software engineering experience at high-growth technology companies or startups. \- Published machine learning research. \- Familiarity with an agent orchestration framework. \- 2 to 4 years of experience is the ideal range. ## Benefits Compensation and benefits \- Base salary: USD 175,000 to 300,000 per year \- Equity Location and work model \- San Francisco, CA, United States \- On-site, 5 days per week in office \- Full-time ## Apply [Apply at Raydar](https://apply.workable.com/raydar/j/CFD3919921/apply) --- Powered by [Workable](https://www.workable.com)