Senior Machine Learning Engineer, AI Platform

📋 Description

• Design, build, and operate core AI platform components to train/deploy ML models.
• Own model serving and inference workflows end-to-end; improve reliability and performance.
• Lead efforts to optimize inference for throughput, latency, and cost on CPU/GPU.
• Design GPU-based inference and training workloads; tune performance and capacity.
• Own model lifecycle: packaging, versioning, testing, and deployment automation.
• Implement observability practices (metrics, logging, tracing, alerts) for ML services.

🎯 Requirements

• Bachelor’s with 4–6 years in ML or Master’s with hands-on production ML experience.
• Strong Python experience for ML systems, backends, or distributed data processing.
• Proven experience deploying and operating ML workloads in cloud environments.
• Solid understanding of model serving architectures, inference pipelines, and tradeoffs.
• Hands-on experience with GPU-based workloads in production settings.
• Experience designing CI/CD pipelines and workflows for reliable ML deployment.

🎁 Benefits

• Generous performance-based bonus plans.
• 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.