Data & Automation Engineer — SF On-site, Equity

raydar; San Francisco (CA); On-site; USD 200,000 - 400,000; Full time

Benefits offered by this job

Health, dental and vision coverage

Job summary

Raydar is seeking a Software Engineer focused on Data and Automation in San Francisco. You will partner with researchers to shape datasets, build data pipelines, and create automated workflows for task generation, reference outputs, and validation.

The role emphasizes full-stack/backend development in Python/TypeScript and a meticulous approach to data quality, with on-site work five days a week. A degree from a leading engineering university is desirable, and relocation is not provided.

Qualifications

• Willingness to work on-site in San Francisco, CA.
• Strong software engineering skills with a track record of shipping products and workflow automation.
• Experience with full-stack or backend development using Python or TypeScript.
• Experience building data processing pipelines and automated systems that use machine learning.
• Ability to translate open-ended research questions into practical technical plans.
• Meticulous data quality and ability to trace discrepancies.
• Clear client-facing communication with researchers and business customers.
• Degree from a leading engineering university (dropouts welcome).

Responsibilities

• Partner with researchers to define dataset requirements and review samples before scaling up production.
• Build data pipelines and automated workflows for generating tasks, preparing reference outputs and validating results.
• Create quality checks and grading approaches together with subject matter experts.
• Spot unclear instructions, wrong answers and tasks that encourage unintended behavior.
• Investigate issues found in review or delivery, fix root causes and apply lessons to future datasets.

Skills

Python

TypeScript

Data pipelines

Data quality

Education

Bachelor's degree in engineering or related field

Job description

Raydar is seeking a Software Engineer focused on Data and Automation in San Francisco. You will partner with researchers to shape datasets, build data pipelines, and create automated workflows for task generation, reference outputs, and validation.

The role emphasizes full-stack/backend development in Python/TypeScript and a meticulous approach to data quality, with on-site work five days a week. A degree from a leading engineering university is desirable, and relocation is not provided.