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$173,150–$246,150.
Based on 240 similar postings.
Employer
About Shopify
Shopify is a leading global commerce platform that enables businesses of all sizes to start, grow, and manage their retail operations online and in-person. It provides tools for storefronts, payments, shipping, and marketing to millions of merchants worldwide.
As a Machine Learning Infrastructure Engineer at Shopify, you will join an agile team responsible for building and operating the end-to-end platform that powers AI applications. Your day-to-day responsibilities include designing high-performance GPU-accelerated systems on Kubernetes, crafting self-serve developer experiences, and optimizing multi-tenant clusters for autoscaling and scheduling. You will also own the model lifecycle from training to inference, build real-time serving stacks, and ensure observability across pipelines with SLOs. The role requires deep expertise in Kubernetes, GPU infrastructure, distributed systems, and automation tools like Terraform and Helm. Proficiency in Python, Go, or Java is essential, along with experience in building developer tooling and self-service platforms. This position involves working closely with ML, data, and product teams to accelerate idea-to-impact delivery at global scale.
Python
TensorFlow
PyTorch
scikit-learn
MATLAB
C++
signal processing
wireless communication
MIMO
OFDM
SDRs
GPU acceleration
embedded machine learning
real-time systems
adaptive modulation
beamforming
cognitive radio techniques
3GPP
IEEE 802.11/15
military waveforms