Machine Learning Engineer

Join a dynamic engineering team supporting production machine learning pipelines that power inventory and workload insights for store operations. This role offers the opportunity to work in a cloud-native environment, strengthen pipeline reliability, and contribute to meaningful improvements in observability, monitoring, and performance. Responsibilities

• Support and maintain production ML pipelines that deliver inventory and workload insights
• Monitor daily workflows and troubleshoot issues to help ensure reliability and SLA adherence
• Improve the stability, performance, and observability of existing pipelines
• Develop and enhance monitoring and alerting solutions using cloud-native tools and custom instrumentation
• Work within a Google Cloud Platform and Vertex AI environment to support pipeline operations and improvements
• Collaborate with engineers, data scientists, and operations partners to resolve issues and implement enhancements
• Contribute to code changes and operational improvements using GitHub workflows and team standards

• Strong Python programming skills
• Working knowledge of PySpark
• Hands-on experience with Google Cloud Platform services, including Vertex AI, BigQuery, Kubeflow Pipelines, and Cloud Monitoring
• Familiarity with ML workflow orchestration tools such as KFP, Airflow, or similar platforms
• Experience monitoring and troubleshooting jobs in distributed cloud environments
• Understanding of observability practices, including OTEL and custom metrics instrumentation
• Experience working with GitHub workflows, including pull requests, branching, and code reviews
• Strong analytical and problem-solving abilities with close attention to detail
• Clear communication skills and a collaborative mindset

Preferred Skills

• Experience balancing operational support with targeted development work
• Background in improving production pipeline reliability and performance
• Ability to proactively identify opportunities for process or system improvements
• Comfort working in cross-functional environments with technical and operational partners

Horizontal is committed to fostering a diverse, equitable, and inclusive workplace where all people feel valued, respected, and supported. We welcome applicants from all backgrounds and experiences and believe different perspectives help drive better outcomes.