Senior Machine Learning Engineer, Features (Adtech)
Core
Design and deliver stable, highly scalable feature pipelines and optimize the performance and reliability of ad model training pipelines for Cognitiv's Deep Learning Advertising Platform.
Role type
Senior individual-contributor machine learning infrastructure engineer
Builds
Low-latency, high-throughput feature pipelines (batch, real-time streaming, point-in-time correct) and ad model training infrastructure
Domain
AdTech / Deep Learning Advertising Platform
Deliverable
production ML models
Required skills
Machine Learning Infrastructure, Data Platform engineering, Python, Java, Scala, Apache Spark, Apache Flink, Apache Kafka, distributed data processing, LLM/embedding integration, CI/CD for ML systems
Preferred skills
PyTorch, Kubernetes, Docker, AWS/GCP, competitive programming (OI/ACM/ICPC)
Technologies
Python, Java, Kafka, Flink, Spark, PyTorch, Kubernetes, AWS
Responsibilities
Architect and maintain low-latency, high-throughput feature pipelines; Leverage LLMs and deep learning models to extract rich contextual and user-level embeddings; Own and enhance ad model training pipelines for speed and resource utilization; Establish technical standards for monitoring, testing, and CI/CD; Partner with modeling and data science teams to translate signals into production-ready features
Seniority
Senior, hands-on IC
