Principal Machine Learning Engineer
Core
Build scalable machine learning systems and platforms to automate core business processes and enhance customer experience for millions of users.
Role type
Principal Machine Learning Engineer (ML Infrastructure)
Builds
Scalable ML pipelines, robust ML infrastructure, and production-ready model solutions.
Domain
E-commerce / Health & Wellness / Machine Learning Infrastructure
Deliverable
production ML models
Required skills
Java, C#, Python, Spark, Hadoop, BigQuery, Athena, Object-oriented Design Patterns, CI/CD, Git, Unit Testing, Integration Testing, Kafka, Google Pub/Sub, Kinesis, RabbitMQ, Docker, Kubernetes
Preferred skills
Google Business Suite
Technologies
AWS Lambdas, Google Functions, Microsoft Office Suite
Responsibilities
Partner with Data Platform team to exchange best practices; Adopt common patterns and build effective abstractions across ML pipelines; Develop horizontal solutions to robustly scale ML models and processes; Build software with Object-oriented Design Patterns to reduce technical debt; Research and prototype new technologies to support business growth.
Seniority
Senior, hands-on IC
