Senior Machine Learning Engineer, AI Platform

📋 Description

• Design, build, and operate core AI platform components used to train, deploy, and serve ML models in production.
• Own model serving and inference workflows end-to-end, driving reliability, scalability, and performance.
• Lead efforts to optimize inference systems for throughput, latency, and cost across CPU and GPU.
• Design and manage GPU-based inference and training workloads, including capacity planning.
• Own and improve model lifecycle components: packaging, versioning, testing, and deployment automation.
• Implement observability practices (metrics, logging, tracing, alerting) for ML services and pipelines.

🎯 Requirements

• Bachelor’s degree with 4–6 years of relevant industry experience, or Master’s with significant hands-on production ML systems experience, or equivalent.
• Strong experience developing in Python for ML systems, backend services, or distributed data processing.
• Proven experience deploying and operating ML workloads in cloud environments with production-grade infrastructure.
• Solid understanding of model serving architectures, inference pipelines, and performance tradeoffs (latency, throughput, cost, scaling).
• Hands-on experience working with GPU-based workloads in production settings.
• Experience designing CI/CD pipelines and workflows to support reliable ML deployment.

🎁 Benefits

• Generous performance-based bonus plans to eligible employees.
• Rich medical, dental, and vision coverage.
• Generous retirement contributions with 100% immediate vesting.
• Quarterly all-company wellness days.
• Country-specific holidays plus a day off for your birthday.
• One-time home office stipend.