10a Labs is looking to solve AI security and data pipeline challenges for its clients, including AI unicorns, Fortune 10 companies, and U.S. tech leaders.
Requirements
- Proficiency in Python, SQL.
- Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium, Scrapy).
- Familiarity with Google Cloud Platform (or similar), including storage and database services (e.g., Cloud Storage, CloudSQL, Cloud Spanner) and workflow orchestration (e.g., Cloud Composer/Airflow, Cloud Run, Pub/Sub).
- Experience building and managing data pipelines, especially for text data.
- Experience deploying APIs on cloud platforms (GCP, AWS, Azure) with robust testing, CI/CD, and performance monitoring practices.
- Comfort working in fast-moving, high-impact environments, such as startups, AI research labs, or security-focused teams.
Responsibilities
- Design, implement, and optimize end-to-end data pipelines for scraping and processing structured and unstructured data using Google Cloud Platform (or similar) and best practices.
- Automate red teaming, including developing automated workflows for prompt generation, model evaluation, and execution of AI experiments.
- Conduct ad hoc web scraping and data collection to support research and intelligence initiatives.
- Design and automate workflows and research experiments, including for data curation, storage, and organization.
- Implement robust error handling, logging, and monitoring.
- Design and maintain database schemas and pipeline infrastructure.
- Prepare data for further analysis, including data cleaning, transformation, anonymization, and masking.
Other
- Degree (or equivalent work experience) in Computer Science, Engineering, Information Science, Data Science or a related field (graduate degree preferred).
- 2+ years of professional experience in data engineering or a closely related field.
- Ability to communicate complex technical ideas clearly to non-technical audiences
- Comfort working in fast-moving, high-impact environments, such as startups, AI research labs, or security-focused teams.
- Fully remote, U.S.-based.
