AI Research Engineer, Model Compression & Quantization

This is a fully remote position, open to applicants in Italy.

📋 Description

• Lead the advancement of model serving and inference architectures for cutting-edge AI systems.

• Concentrate on enhancing model deployment and inference methodologies to achieve high-performance outcomes.

• Design and implement robust inference pipelines, setting up thorough performance metrics.

• Detect and address bottlenecks within production settings.

• Work collaboratively with cross-functional teams to incorporate optimized serving and inference frameworks into production workflows.

⛳️ Requirements

• A Bachelor's degree in Computer Science or a related discipline.

• Preferably a PhD in Natural Language Processing, Machine Learning, or a similar field, supported by a strong background in AI research and development (with notable publications in A* conferences).

• Must possess knowledge of Metal Shading Language (MSL).

• Essential experience in low-level kernel optimizations and inference enhancements on mobile devices.

• Your contributions should have resulted in quantifiable improvements in inference latency, throughput, and memory usage for domain-specific applications, especially on resource-limited devices and edge platforms.

• A comprehensive understanding of contemporary model serving architectures and inference optimization strategies is necessary.

• Must have significant expertise in crafting GPU kernels for mobile devices (e.g., smartphones).

• Required practical experience in creating and deploying end-to-end inference pipelines, from model optimization for effective serving to the integration of these solutions on resource-constrained devices.

🏝️ Benefits

• Competitive salary.

• Flexible working hours.

• Opportunities for professional development.

• Options for remote work.