Senior Machine Learning Engineer
Ort: United States of America · Bereich: Data, AI & Analytics · Level: Senior · Veröffentlicht: 12. August 2026 · Geprüft: 2. Nov. 2026
Rollenübersicht & Beschreibung
Team-Wachstum & Marktbewegung von AOL beobachten
Polaris7 aggregiert offene Vakanzen, strategische Marktbewegungen und M&A-Signale in Echtzeit. Erhalte automatische Signal-Briefings zu AOL und vergleiche das Ökosystem mit direkten Wettbewerbern.
AOL
aol.comAOL ist ein etabliertes Consumer-Webportal- und E-Mail-Mediennetzwerk, das primär durch reichweitenstarke programmatische Werbeinventare und Premium-B2C-Abonnements monetarisiert wird.
Vollständiges Unternehmensprofil, Wettbewerber & Marktsignale zu AOL freischalten
Ähnliche Positionen im DACH-Ökosystem
Verwandte Rollen und Profile aus dem AdTech-, Media- und Datenmarkt
This Senior Machine Learning Engineer role builds ML-based software systems for ad creative and campaign optimization, working with diverse datasets including image, video, audio, text, and structured performance data. You will contribute to the MLOps and data platform, productionize AI/ML applications, and collaborate with product, engineering, and infrastructure stakeholders. Requires 5+ years of production software experience, 2+ years delivering ML-powered services, fluency in Python, and hands-on experience with modern ML frameworks and cloud infrastructure, with hybrid work.
This Senior/Staff Machine Learning Engineer role on the Data Science team designs modular and scalable real-time data pipelines and implements custom ML algorithms for StackAdapt's digital advertising platform. The engineer will work on microservice architectures running training, inference, and monitoring on thousands of ML models concurrently, and coordinate architectural improvements for big data ML pipelines. Requires deep understanding of algorithms, concurrency, and data structures, with experience in probabilistic or machine learning algorithms and designing scalable distributed systems.
This senior individual-contributor role focuses on architecting and maintaining high-performance feature pipelines (batch, streaming, point-in-time correct) for Cognitiv's real-time bidding systems. The engineer will own model training pipeline optimization, integrate LLM/deep learning embeddings into the feature store, and establish technical standards for monitoring and CI/CD. Requires 3-5+ years of ML infrastructure experience, proficiency in Python/Java/Scala, and deep expertise in AdTech and big data technologies like Spark, Flink, and Kafka.
Develops AI and machine learning solutions to enhance product offerings. Optimizes algorithms and collaborates with cross-functional teams to integrate AI capabilities.
Weitere Positionen bei AOL
3 weitere offene Stellen
This Senior Vulnerability Management Engineer role is part of the Paranoids security team, focusing on identifying, assessing, and mitigating security vulnerabilities across the organization's infrastructure and applications. The engineer will develop and maintain vulnerability management processes, conduct regular scans, and collaborate with engineering teams to remediate findings.
This Brand Designer role is responsible for creating and maintaining visual brand assets, including logos, typography, and marketing collateral, ensuring brand consistency across all channels. The designer will collaborate with marketing and product teams to develop compelling visual narratives that resonate with target audiences.
This Principal Interaction Designer role focuses on designing advanced tools for designers, requiring deep expertise in interaction design, prototyping, and user-centered design processes. The designer will lead the creation of intuitive, scalable design tools that enhance productivity and collaboration within design teams.
