Senior Machine Learning Engineer, Features (Adtech)

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 Machine Learning Scientist role focuses on improving bidding strategies and audience targeting in the RTB ecosystem, leveraging deep learning models. The scientist will deep-dive the RTB ecosystem, enhance user signals, and collaborate with teams to improve model performance. Requires a Master's/PhD and 3+ years of industry experience in RTB, with proficiency in Python and deep learning frameworks.

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 Machine Learning Scientist role focuses on measuring ad incrementality and improving campaign efficiency using ML models and AI automation. The scientist will drive online experiments, own projects independently, and partner with product and engineering teams. Requires a Master's/PhD and 3+ years of experience in causal inference or incrementality measurement, with Python and ML framework proficiency.

This role supports campaign execution and client relationships for Cognitiv's deep learning advertising platform. Responsibilities include campaign setup, monitoring pacing and performance via dashboards, maintaining accurate records in Adbook, and addressing client needs. Requires 1 year of experience in sales planning, client services, programmatic trading, or ad operations, with strong attention to detail and analytical skills.

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.

This role leads the product strategy and roadmap for Cognitiv's Custom Algorithms product, which uses deep learning to optimize advertising campaigns. The Product Manager will partner with Data Science and Engineering to define model goals, quality bars, and scalable delivery processes, while also driving adoption with Sales and Customer Success. The ideal candidate has 5+ years of product management experience with ML products, strong analytical skills, and the ability to translate model behavior into commercial language for advertisers.