AI Research Engineer (Kernel & Inference Optimization) - Remote

Overview

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.

In Short

• Design and deploy state-of-the-art model serving architectures.
• Build, run, and monitor controlled inference tests.
• Identify and prepare high-quality test datasets and simulation scenarios.
• Analyze computational efficiency and diagnose bottlenecks.
• Work closely with cross-functional teams to integrate optimized frameworks.
• A degree in Computer Science or related field, ideally a PhD.
• Knowledge of Metal Shading Language (MSL).
• Experience in low-level kernel optimizations and inference optimization.
• Strong expertise in writing GPU kernels for mobile devices.
• Understanding of advanced model architectures and inference techniques.

Requirements

• Proven experience in AI R&D with good publications.
• Deep understanding of model serving architectures.
• Experience in developing and deploying end-to-end inference pipelines.
• Ability to apply empirical research to optimize model serving.
• Knowledge of Distributed Inference Systems.
• Understanding of advanced techniques like Pruning and Quantization.

Benefits

• Work remotely from anywhere in the world.
• Collaborate with a global team of talented professionals.
• Opportunity to contribute to cutting-edge fintech solutions.
• Be part of a pioneering company in the digital finance sector.
• Engage in a culture of innovation and continuous improvement.