Staff Machine Learning Engineer, ML Platform
Core
Build and operate the ML platform infrastructure (pipelines, model serving, orchestration) at global scale to enable personalized marketing solutions.
Role type
Staff Machine Learning Engineer (ML Platform)
Builds
Distributed ML pipelines, multi-region model serving fleets, CI/CD tooling, and high-throughput APIs
Domain
Marketing Technology / Cloud Infrastructure
Deliverable
infrastructure
Required skills
Distributed systems design, ML workloads in production, Kubernetes, Cloud infrastructure, CI/CD, Infrastructure as code, Technical leadership, Incident response
Preferred skills
Queueing/orchestration (Celery, Kafka, Ray), ML platform tooling (MLflow, feature stores), Python, Ruby on Rails, MongoDB, Redis, Compliance (SOX, HIPAA), Marketing domain
Technologies
Kubernetes, Python, Ruby on Rails, MongoDB, Redis, Celery, RabbitMQ, Kafka, Ray, MLflow
Responsibilities
Design and implement transformative infrastructure initiatives, own complex infrastructure projects from design to production, set technical vision for model training and serving, drive cross-team initiatives, mentor senior engineers and data scientists, lead incident response for ML systems
Seniority
Staff, hands-on IC with strategic scope
