Machine Learning Engineer, Audience Intelligence

Summary

Join Reddit's Ads Targeting team as a Machine Learning Engineer and play a pivotal role in building the Audience Intelligence Engine. Design and develop machine learning models to infer user attributes, utilizing diverse signals to create predictive features. Conduct experiments to validate model impact and collaborate with software engineers for deployment. Ensure compliance with privacy policies and contribute to enhancing user understanding and advertiser outcomes. This is a unique opportunity to build a critical system from the ground up within a supportive and inclusive work environment. Your work will have a foundational impact on Reddit's advertising business.

Requirements

• 2+ years of experience with applied machine learning models
• Proficiency in programming languages (Python, SQL) and statistical analysis
• A pragmatic, product-oriented mindset focused on building and shipping ML systems that deliver measurable business impact
• Effective communication skills to collaborate with diverse teams and stakeholders
• Passion for empowering communities and advertisers through innovative ML solutions

Responsibilities

• Design and develop machine learning models to infer and assess user attributes (e.g., Age, Gender, Language, In-Market status, etc.)
• Utilize diverse signals – including on-platform behavior (1P), off-platform partner data (3P), and contextual cues – to create predictive features for your models
• Conduct and analyze offline and online experiments to validate the impact of new intelligence features on Targeting Products and downstream parts of the serving ecosystem
• Partner closely with software engineers to deploy your models and ensure the intelligence they produce is successfully integrated into our real-time user profiles
• Collaborate with the Ads Privacy team to ensure all models and data handling practices are secure and compliant with policies like GDPR, CCPA, and ATT

Preferred Qualifications

• Experience with large-scale data processing and pipeline orchestration tools
• Familiarity with advertising technology (ad tech) concepts and metrics
• Experience building models for inference on user behavior or characteristics
• Experience with deep learning, representation learning, or transfer learning
• Familiarity with MLOps tools and ML experimentation workflows

Benefits

• Comprehensive Health Benefits
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Reddit Global Days Off