AI Research Engineer (Kernel & Inference Optimization) - 100% Remote Worldwide

About the role

As a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications.

What you'll do

• Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage
• Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms
• Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint
• Build, run, and monitor controlled inference tests in both simulated and live production environments
• Track key performance indicators such as response latency, throughput, memory consumption, and error rates

What you need

• Research
• Lean
• PhD or B.Tech or B.E. or B.Sc or BCA

Good to have

• Machine learning
• NLP