Staff Machine Learning Engineer, ML Platform
Core
Build and operate the ML platform infrastructure (pipelines, serving fleets, orchestration) to enable personalized customer experiences at global scale.
Role type
Staff Machine Learning Engineer (ML Platform)
Builds
Distributed ML pipelines, multi-region model serving fleets, CI/CD tooling, and high-throughput prediction APIs.
Domain
Marketing Technology / Customer Engagement / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
distributed systems design, ML workloads in production, Kubernetes, cloud infrastructure, CI/CD, infrastructure as code, technical leadership, cross-team collaboration
Preferred skills
queueing/orchestration (Celery, RabbitMQ, Kafka, Ray), ML platform tooling (MLflow, feature stores, observability), Python, Ruby on Rails, MongoDB, Redis, compliance (SOX, HIPAA), marketing technology domain
Technologies
Kubernetes, Python, Ruby on Rails, MongoDB, Redis, Celery, RabbitMQ, Kafka, Ray, MLflow
Responsibilities
Drive transformative infrastructure initiatives (replatforming, overhauling deployment), build and ship complex infrastructure from design to production, own technical vision and production quality bar, drive initiatives spanning partner teams, mentor senior engineers and data scientists, connect technical decisions to business outcomes
Seniority
Staff, hands-on IC with strategic scope
