Lead identity resolution systems using ML techniques; collaborate with cross-functional teams to enhance ad measurement capabilities. Drive architectural decisions and mentor junior engineers while ensuring compliance with privacy requirements.
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The Ads Measurement Org is seeking a Senior Staff Machine Learning Engineer with expertise in identity resolution and graph-based systems. You'll lead end-to-end Ads initiatives, drive architectural decisions, mentor peers, and tackle technical challenges. We offer comprehensive benefits including healthcare, 401k match, family planning support, mental health resources, flexible vacation, generous parental leave, and paid volunteer time off.
The Ads Measurement Org is dedicated to enhancing the efficiency and user-friendliness of our advertising platform. We specialize in privacy enhancing technologies, identity resolution, and modeled conversions.
We’re looking for a hands-on Senior Staff Machine Learning Engineer with deep expertise in identity resolution and graph-based systems, who can lead end-to-end Ads initiatives across engineering and cross-functional teams. You will drive architectural decisions, mentor your peers, and dive into technical challenges directly when the team needs it. Our diverse group of engineers, product managers, data scientists, and ads specialists is excited to welcome you on board!
Minimum Qualifications:
8+ years of professional software engineering experience, with at least 3+ years focused on ML-driven systems at scale
Demonstrated experience architecting and building identity graphs, device graphs, or similar identity matching solutions leveraging probabilistic techniques
Strong knowledge of various identifiers (cookies, hashed emails, phone numbers, IP addresses, user agents) and their use in identity resolution
Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference
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, driving architectural decisions and influencing stakeholders (product, data science, privacy, legal)
Excellent communication, mentoring, and collaboration skills to align teams on a long-term vision for identity resolution
Responsibilities:
Lead the technical strategy and architecture for our company’s identity resolution system, ensuring accuracy, scalability, and compliance with privacy requirements
Develop and refine ML models for probabilistic user matching using multiple identifiers (cookies, IP addresses, hashed emails, phone numbers, user agents)
Oversee end-to-end ML workflows—from data ingestion and feature engineering to model training, evaluation, and deployment—optimizing for performance and cost
Partner with cross-functional teams (e.g., product management, data science, platform engineering, privacy, legal) to define the roadmap and set long-term goals
Establish engineering best practices, code quality standards, and data governance guidelines to ensure maintainability and trustworthiness of the identity graph
Mentor and coach junior engineers, fostering a culture of innovation, technical excellence, and knowledge sharing across the organization
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k Match
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Reddit Global Days off
Generous paid Parental Leave
Paid Volunteer time off
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