
501 - 1000 Mitarbeiter
Gegründet 2005
👥 B2C
📱 Medien
🌍 Soziale Wirkung
B2C • Media • Social Impact
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.
🕒 vor 1 Monat
🇺🇸 Vereinigte Staaten – Remote
💵 $216.700 - $303.400 / Jahr
⏰ Vollzeit
🟠 Senior
👮♂️ IT-Sicherheitsingenieur
🗣️🇺🇸🇬🇧 Englisch erforderlich
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501 - 1000 Mitarbeiter
Gegründet 2005
👥 B2C
📱 Medien
🌍 Soziale Wirkung
B2C • Media • Social Impact
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.
• Build and improve security-focused ML models for Reddit’s GenAI traffic, including guardrail models, semantic classifiers, anomaly detection models, and other neural network based security signals. • Own model development end to end: define the security problem, assemble and label datasets, build ETL pipelines, engineer features, train models, evaluate quality, deploy to production, monitor performance, and retrain from production feedback. • Use modern deep learning architectures, including neural networks, transformers, sequence models, embeddings, and model distillation where they are the right practical fit. • Design rigorous evaluation suites for adversarial examples, hard negatives, long-context inputs, structured payloads, tool calls, multi-turn workflows, and real production traffic. • Improve model precision, recall, latency, cost, calibration, and operational reliability for high-impact production surfaces. • Build repeatable MLOps workflows for SPACE, including training pipelines, model lineage, artifact management, holdout evaluation, dashboards, rollback paths, and retraining loops. • Partner closely with ML Infrastructure, LLM Gateway, DevX, Ads, Answers, Safety, Privacy, Compliance, and other Security teams to bring security models into real production workflows. • Work pragmatically with Reddit’s evolving ML platform, using existing infrastructure where possible and building focused tooling when needed to keep model iteration moving. • Translate security goals into measurable model outcomes and help partners understand tradeoffs between risk reduction, latency, false positives, and product impact. • Provide technical direction to other engineers and serve as a go-to ML expert for GenAI Security and broader SPACE model needs.
• 5+ years of experience building, training, evaluating, and deploying production ML or deep learning models. • Hands-on experience with modern ML frameworks such as PyTorch, TensorFlow, or similar. • Strong practical understanding of the full ML lifecycle: problem definition, data ETL, feature engineering, training, evaluation, deployment, monitoring, debugging, and retraining. • Experience building data pipelines and working with large-scale datasets. • Experience designing rigorous model evaluations, including precision/recall/F1, false positive analysis, threshold tuning, calibration, holdout sets, regression tests, and production-quality validation. • Experience shipping production-quality software, preferably in Python and/or Go. • Strong communication skills and ability to explain model behavior, risk tradeoffs, and technical decisions to cross-functional partners. • BS degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience.
• 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
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