Senior Machine Learning Engineer, AI Platform

What You'll Do:

• Design, build, and operate core AI platform components used to train, deploy, and serve machine learning models in production environments.
• Own model serving and inference workflows end-to-end, driving improvements in reliability, scalability, performance, and operational excellence.
• Lead efforts to optimize inference systems for throughput, latency, and cost efficiency across CPU and GPU workloads.

What You'll Bring:

• Bachelor's degree with 4–6 years of relevant industry experience, or Master's degree with significant hands-on experience building and operating production ML systems.
• Strong experience developing in Python for machine learning systems, backend services, or distributed data processing.
• Proven experience deploying and operating ML workloads in cloud environments, including production-grade infrastructure.

What You'll Get:

• Generous performance-based bonus plans to all eligible employees.
• Rich medical, dental, and vision coverage.
• Generous retirement contributions with 100% immediate vesting, quarterly wellness days, and considerable paid parental leave.