Staff Machine Learning Engineer, Ads Measurement Modeling

🕒 vor 3 Monaten

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Reddit, Inc.

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

Gegründet 2005

💼 Beratung

📣 Marketing

📱 Medien

Consulting • Marketing • Media

Reddit, Inc. ist eine Social-Media-Plattform und Knotenpunkt für Tausende von Communities. Nutzerinnen und Nutzer können dort an vielfältigen Gesprächen teilnehmen – von aktuellen Nachrichten bis hin zu Nischenthemen. Sie ermöglicht es, Inhalte zu posten, zu kommentieren und darüber abzustimmen und fördert so eine lebendige Online-Community. Millionen von Menschen weltweit vernetzen sich auf Reddit und teilen ihre Leidenschaften – und schaffen so ein dynamisches Umfeld für authentische zwischenmenschliche Interaktion.

Beschreibung

• Lead the technical strategy and architecture for our company’s ads identity modeling solutions and other related ads measurement models • Design and train advanced ML models while ensuring accuracy, scalability, and compliance with privacy requirements, managing trade-offs between complexity, latency, and prediction quality • 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.

🎯 Anforderungen

• 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 leveraging advanced machine learning 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.

🏖️ Vorteile

• Comprehensive Healthcare Benefits and Income Replacement Programs • 401k with Employer Match • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave