Remote ML Infrastructure Engineer: Scalable Inference

Bright Vision Technologies is hiring a Machine Learning Infrastructure Engineer to design, build, and operate high-performance inference platforms for large ML models. The role centers on systems engineering for AI deployment, including request routing, batching, caching, autoscaling, and end-to-end observability.

The ideal candidate has distributed systems expertise, ships serving systems at scale, and can balance latency, throughput, cost, and quality across diverse model workloads.

This role, Remote ML Infrastructure Engineer:
Scalable Inference at Bright Vision Technologies, could be your next opportunity.

We are currently recruiting a Remote ML Infrastructure Engineer:
Scalable Inference for our team in Artesia, CA, United States.

This is an excellent position to take on the Remote ML Infrastructure Engineer:
Scalable Inference role at Bright Vision Technologies.

As a Remote ML Infrastructure Engineer:
Scalable Inference, you will play an important part at Bright Vision Technologies in Artesia, CA, United States.