Raydar
Founding Machine Learning Engineer
- Compensation
- Not disclosed
- Location
- San Francisco, California, United States
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Must have
- - 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.
Nice to have
- - 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.
Full 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