Senior Staff Machine Learning Engineer, Ads Measurement Remote - United States
Principal Machine Learning Engineer, Ads MeasurementThe 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 Principal 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 :10years of professional software engineering experience, with at least 5years focused on ML-driven systems at scaleDemonstrated experience architecting and building identity graphs, device graphs, or similar identity matching solutions leveraging probabilistic techniquesStrong knowledge of various identifiers (cookies, hashed emails, phone numbers, IP addresses, user agents) and their use in identity resolutionProficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inferenceSolid 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 resolutionResponsibilities :Lead the technical strategy and architecture for our company's identity resolution system, ensuring accuracy, scalability, and compliance with privacy requirementsDevelop 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 workflowsfrom data ingestion and feature engineering to model training, evaluation, and deploymentoptimizing for performance and costPartner with cross-functional teams (e.g., product management, data science, platform engineering, privacy, legal) to define the roadmap and set long-term goalsEstablish engineering best practices, code quality standards, and data governance guidelines to ensure maintainability and trustworthiness of the identity graphMentor and coach junior engineers, fostering a culture of innovation, technical excellence, and knowledge sharing across the organizationBenefits :Comprehensive Healthcare Benefits and Income Replacement Programs401k MatchFamily Planning SupportGender-Affirming CareMental Health & Coaching BenefitsFlexible Vacation & Reddit Global Days offGenerous paid Parental LeavePaid Volunteer time offThe base pay range for this position is :$266,000 - $372,400 USDReddit 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.. Experience: 5 years required