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