Machine Learning Engineer, Audience Intelligence

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The Ads Targeting team's mission is to develop robust, scalable, and privacy-compliant targeting products that enable advertisers to effectively reach relevant users. We are evolving to become the Audience Intelligence Engine, the central nervous system for user understanding in Reddit's advertising ecosystem. Our goal is to synthesize a multitude of signals into unified, real-time, and privacy-compliant user profiles that power everything from targeting and ranking to forecasting and insights

About the Role:

As a Machine Learning Engineer on our Audience Intelligence team, you will play a pivotal role in this transformation. You will be responsible for designing and developing the machine learning models that generate new user intelligence at scale. This is a highly collaborative role where you will focus on modeling excellence and partner tightly with the team's software engineers to integrate your model-produced intelligence into the broader advertising ecosystem. Your work will directly enhance our ability to understand users and improve advertiser outcomes.

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.

What We're Looking For:

• 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

Nice to Have:

• 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

Why Join Us:

• This is a rare opportunity to build a critical intelligence system from the ground up. Unlike mature organizations making incremental changes to legacy systems, you will be a key part of a small, focused team building the Audience Intelligence Engine from 0 to 1. Your work will have a foundational impact on the future of Reddit's advertising business
• Collaborate with a diverse and talented team of engineers, researchers, and marketers
• Develop your skills in machine learning, deep learning, and large-scale system design
• Enjoy a supportive and inclusive work environment that values work-life balance and professional grow

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

#LI-REMOTE

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.