AI Platform Engineer
eBay · Bangalore, India · Engineering
About this role
eBay is hiring a senior-level AI Infrastructure Engineer in the machine learning function based in Bangalore, India. The posting calls out experience with Python, Go, CUDA, Kubernetes.
- Role
- AI Infrastructure Engineer
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Bangalore, India
- Department
- Engineering
- Posted
- May 13, 2026
More roles at eBay
Job description
from eBay careersAt eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
About eBay AI Platform
At eBay, we are building a next-generation AI platform to power intelligent, AI-driven experiences across our global marketplace. Our platform supports the full lifecycle of large-scale foundation models—from distributed pretraining on high-performance GPU clusters to high-throughput production inference—enabling commerce intelligence for hundreds of millions of users worldwide.
We focus on building state-of-the-art AI runtime infrastructure leveraging vLLM and TensorRT-LLM as pluggable inference engines behind a standardized AI runtime layer, alongside Megatron-LM and DeepSpeed for distributed training—integrated with provisioned throughput management, a distributed KV cache, prefill/decode disaggregation, and a robust MLOps stack spanning experiment management, fine-tuning automation, and production observability.