About the company
Our client is a fast-growing software company.
The role
Raydar is recruiting for this role on behalf of our client. Own the machine learning layer of a production software product, covering model integration, data pipelines and the testing frameworks that confirm changes work. This is a hands-on engineering seat as one of the earliest engineers, with real influence over architecture and a focus on frequent releases to live users.
What you'll do
- Own AI features from design through deployment, including how models are instructed, how they pull in information and how they call other services.
- Create automated evaluation tooling ahead of new releases so model changes are verified rather than assumed.
- Bring response time and running costs down to levels that hold up under real production load.
- Diagnose unclear product problems and determine whether the cause is the model, the data or the user experience, then resolve them.
- Release to production weekly and monitor how changes behave in real use.
- Make early architecture decisions that will shape the platform for years.
Requirements
What we're looking for
- A computer science degree, ideally from a highly ranked institution.
- Solid practical Python experience developing AI and ML services.
- Experience creating LLM evaluation systems that successfully caught regressions.
- A track record of launching AI-driven software to live users, beyond research prototypes or internal demos.
- Experience at a company known for a rigorous engineering bar.
- Experience working at a growth-stage startup.
Bonus points
- Contributions to the wider developer community, such as published work or personal projects.
- Background in machine learning or model tuning.
- Experience in commerce or marketplace environments.
Benefits
Compensation and benefits
- Base salary: USD 150,000 to 250,000 per year
- Equity
Location and work model
- San Francisco, CA, United States
- On-site
- Full-time
Skills Required
- Computer science degree
- Solid practical Python experience developing AI and machine learning services
- Experience creating LLM evaluation systems that catch regressions
- Track record of launching AI-driven software to live users beyond research prototypes or internal demos
- Experience at a company known for a rigorous engineering bar
- Experience working at a growth-stage startup
- Published work or personal projects contributing to the wider developer community
- Background in machine learning or model tuning
- Experience in commerce or marketplace environments
What We Do
Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.
