Start/End Dates: 30/03/2026 - 31/12/2026
Work Location: US - CA - Menlo Park ((onsite 5 day a week - no remote or Hybrid)
Maximum BR: BR/Hr

Job Description:
Meta's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Meta are builders at heart.
Our Safe Ads Experiences (SAE) team is building the next generation data collection platform SPECTRA (Scalable Platform for Enhanced data Collection, Targeted sampling and Rater Assistance) and shaping the future of how human-labeled data is collected and used in Meta's systems. The work will help define the future of responsible advertising, meaningfully impact all stakeholders - users, advertisers, Meta and regulators. If you want the opportunity to make a difference in how Meta handles people's advertising experience, user data privacy, and shapes public trust through data-driven insights, join us!

Responsibilities
Drive technical implementation and testing of complex data pipeline features within the SPECTRA platform, ensuring robust end-to-end functionality and hitting project release timelines
Design and develop data processing pipelines using SQL and Python to handle large-scale data collection, transformation, and quality monitoring workflows
Build and maintain dashboards and visualization tools to provide visibility into data quality, rater performance, and platform metrics for stakeholders across multiple teams
Create comprehensive end-to-end tests and monitoring alerts to ensure platform reliability, data integrity, and proactive identification of issues in the data collection workflow
Debug and troubleshoot complex data flow issues across the SPECTRA platform, identifying root causes and implementing solutions to maintain high system availability
Collaborate closely with Technical Leads and engineering teams to implement backend data processing logic and ensure adherence to Meta's development standards and best practices
Partner with Product Data Operations (PDO) teams to coordinate human labeling workflows, budget planning, vendor management, and rater performance optimization
Work with Taxonomists and Data Labeling Analysts to ensure proper data classification, labeling guidelines implementation, and quality assurance processes
Coordinate with vendor partners to support external data collection operations, ensuring seamless integration with SPECTRA's multi-review and quality monitoring systems
Support smart sampling initiatives and targeted data collection strategies that have delivered significant cost savings and improved data quality across Meta's advertising systems

Minimum Qualifications
Experience in SQL development experience writing complex queries, data transformations, and working with large datasets in production environments
Proficient in Python with experience in data processing, automation, and pipeline development using object-oriented programming principles
Experience with data engineering pipelines including ETL processes, data modeling, and building scalable data processing workflows
Hands-on experience with data visualization and dashboard tools such as Tableau, or similar platforms for creating actionable insights from large datasets
Strong analytical and problem-solving skills with demonstrated ability to debug complex data issues and implement effective solutions
Experience with data quality monitoring and automated testing frameworks to ensure data accuracy, completeness, and reliability


Preferred Qualifications
Computer Science or related field
Machine Learning experience with understanding of ML model training data requirements, feature engineering, and model evaluation metrics
Experience building and scaling large products or systems
Experience with building privacy and ads related products is a big plus.
Experience working with human labeling and annotation systems including workflow design, quality assurance, and vendor management in data collection operations.
Prior experience in working with Facebook or Facebook internal tools is a plus.
Related Job Titles/Keywords
Dashboarding, data science, and data analytics
Companies they would like to see on resumes
Google, snowflake