Staff Machine Learning Engineer, Ads Measurement Modeling

Details

Reddit is a community of communities with 100,000+ active communities and approximately 126 million daily active unique visitors. The Ads Measurement Org focuses on improving the efficiency and usability of Reddit's advertising platform. The Measurement Modeling team owns ML solutions for Ads Measurement including Identity Matching, Identity Graph, Utility Enhancement for Ads Privacy, Modeled Conversion, and other measurement initiatives. The team works at the intersection of the ads stack and collaborates cross-functionally with many teams (Measurement & Reporting, Experimentation, Personalization, Delivery, Safety, etc.).

This role (IC5 / Staff ML Engineer) will define long-term technical direction for ads identity modeling, drive architectural evolution, ensure engineering quality and best practices, lead cross-org initiatives, and champion ML/AI innovation.

Responsibilities

• Lead technical strategy and architecture for ads identity modeling solutions and related ads measurement models.
• Design and train advanced ML models, balancing accuracy, scalability, latency, and prediction quality while ensuring privacy compliance.
• Oversee end-to-end ML workflows: data ingestion, feature engineering, model training, evaluation, and deployment; optimize for performance and cost.
• Partner with product management, data science, platform engineering, privacy, and legal to define roadmaps and long-term goals.
• Establish engineering best practices, code quality standards, and data governance guidelines for the identity graph.
• Mentor and coach junior engineers; foster a culture of innovation and technical excellence.

Requirements (Minimum Qualifications)

• 7+ years of professional software engineering experience, with at least 3+ years focused on ML-driven systems at scale.
• Demonstrated experience architecting and building ads measurement modeling solutions using advanced ML techniques.
• Strong knowledge of identifiers (cookies, hashed emails, phone numbers, IP addresses, user agents) and their role in identity resolution.
• Proficiency with machine learning frameworks and libraries for feature engineering, model training, and inference (e.g., TensorFlow, PyTorch).
• Solid understanding of large-scale data processing, distributed computing, and data infrastructure (e.g., Spark, Kafka, Beam, Flink).
• Proven technical leadership in cross-functional settings; ability to drive architectural decisions and influence stakeholders including product, data science, privacy, and legal teams.
• Excellent communication, mentoring, and collaboration skills to align teams on long-term identity resolution vision.

Benefits

• Comprehensive healthcare benefits and income replacement programs.
• 401(k) with employer match.
• Global benefit programs (workspace, professional development, caregiving support).
• Family planning support and gender-affirming care.
• Mental health and coaching benefits.
• Flexible vacation & paid volunteer time off.
• Generous paid parental leave.

Pay Transparency

• Base salary range for this U.S.-based position: $230,000 - $322,000 USD.
• Eligible to receive equity in the form of restricted stock units and, depending on position, may be eligible for commission.

Other Notes

• Role listed as Remote - United States.
• Interviews in select roles/locations may be recorded, transcribed, and summarized by AI (candidates may opt out).