Founding Machine Learning Engineer

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