Senior Manager, Machine Learning Engineering
Core
Lead the technical vision and execution of foundational AI systems powering the Recognition Economy, transitioning state-of-the-art models into robust, autonomous production systems for enterprise workflow automation.
Role type
Senior Manager, Machine Learning Engineering
Builds
Scalable data infrastructure, automated annotation workflows, MLOps lifecycle services, and productionized agentic AI/LLM/VLM solutions.
Domain
Artificial Intelligence, Computer Vision, Data Engineering, Mobility & Retail
Deliverable
production ML models | infrastructure | product features
Required skills
Enterprise-scale ETL pipeline design, Data governance, Distributed data processing (Apache Spark, Kafka), MLOps lifecycle management, Agentic AI/LLM/VLM deployment, Deep learning frameworks (TensorFlow, PyTorch), SQL, Python, Computer vision systems
Preferred skills
Large scale dataset management, Cloud ML service deployment, High-growth environment adaptability
Responsibilities
Build and maintain scalable, compliant data infrastructure for computer vision and AI pricing; Build scalable data engineering pipelines and automated annotation workflows; Own the MLOps lifecycle including distributed training and model registries; Define technical direction and lead a high-performance team of data and ML infrastructure engineers; Develop foundational systems to productionize agentic AI and VLM solutions; Enable personalization and targeted advertisement through innovative ML data pipelines; Collaborate with external vendors to ensure high-quality data for production models
Seniority
Senior, hands-on IC with management of managers
