Software Engineer

About the company

Our client is a fast-growing technology company.

The role

Raydar is recruiting for this role on behalf of our client. Work hands-on with research stakeholders to design, build and quality-check the datasets used in machine learning work. Write code, review output closely, and refine methods based on feedback after delivery.

What you'll do

- Partner with researchers to define dataset requirements and review early samples before scaling up production.

- Build data pipelines and automated workflows for generating tasks, preparing reference outputs and validating results.

- Develop quality checks and grading approaches together with subject matter experts.

- Spot unclear instructions, incorrect answers and tasks that encourage unintended behavior.

- Investigate issues found during review or delivery, fix root causes, and apply lessons to later datasets.

Requirements

What we're looking for

- Solid coding ability, with a background in data processing, automation or applied AI work.

- A track record of shipping and maintaining live software in production.

- Having owned projects from first requirements through to launch.

- Skill at translating an open-ended research question into a practical technical plan and testing whether it holds up.

- A meticulous approach to data quality, and comfort digging into individual records to find inconsistencies.

- Clear communication with researchers and domain experts while requirements are still evolving.

- Prior experience in a high-caliber startup environment.

- Must be able to work from the office five days a week in the Bay Area; relocation support is not offered.

Bonus points

- Exposure to autonomous agent setups, model serving or evaluation tooling.

- Familiarity with artificially generated training data.

- Degree from a top engineering university.

Benefits

Compensation and benefits

- Base salary: USD 200,000 to 400,000 per year

- Equity

- Commission

- Health, dental and vision coverage

Location and work model

- San Francisco Bay Area, CA, United States

- On-site, 5 days per week in office

- Full-time