UCI Career Fair - 2027 Summer Internship
Ort: Irvine, California, United States · Bereich: Engineering & Softwareentwicklung · Level: Praktikum / Werkstudent · Veröffentlicht: 8. Oktober 2026 · Geprüft: 30. Okt. 2026
Rollenübersicht & Beschreibung
Team-Wachstum & Marktbewegung von Viant beobachten
Polaris7 aggregiert offene Vakanzen, strategische Marktbewegungen und M&A-Signale in Echtzeit. Erhalte automatische Signal-Briefings zu Viant und vergleiche das Ökosystem mit direkten Wettbewerbern.
Viant
viantinc.comUnabhängige DSP mit Fokus auf CTV, Identity-Lösungen und Omnichannel-Messung.
Vollständiges Unternehmensprofil, Wettbewerber & Marktsignale zu Viant freischalten
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Weitere Positionen bei Viant
3 weitere offene Stellen
This Senior Software Engineer role at TVision builds the distributed systems and data infrastructure for next-generation audience measurement, using computer vision and audio content recognition. The engineer will develop scalable backend services, cloud-native data pipelines, and processing frameworks to transform raw viewing data into actionable insights. Requires 3+ years of backend and distributed data systems experience, Python proficiency, and familiarity with big data processing frameworks.
This Senior Applied Scientist role focuses on applying reinforcement learning and decision-making methods to improve Viant's real-time advertising systems, including targeting, bidding, and personalization. The scientist will develop and evaluate RL, contextual bandit, and prediction models, design experiments, and partner with engineers to deploy and monitor models in production. Requires 3-5 years of ML experience, strong foundations in deep learning and statistics, and practical experience with Python and frameworks like PyTorch or TensorFlow.
This Director of Applied Science role owns the end-to-end design, deployment, and performance of Viant's real-time prediction and bid-optimization systems for programmatic advertising. The director will lead a team of applied scientists and ML engineers, define technical formulations for ad-optimization problems, and manage production ML operational challenges like delayed feedback and latency. Requires 10+ years of experience in production ML systems, 5+ years in technical leadership, and direct experience with real-time decisioning systems.
