AI Research Engineer – Model Compression, Quantization

• Apply low-bit quantization to reduce model size and inference latency for generative AI models while maintaining accuracy and output quality
• Use knowledge distillation to transfer capabilities from larger teacher models to smaller student models for multimodal reasoning across text, image, and audio
• Implement pruning techniques to remove redundant parameters and attention heads
• Analyze trade-offs among model size, latency, memory, throughput, and accuracy
• Research and apply mixed-precision quantization and advanced compression strategies
• Stay current with model-compression research for multimodal and generative architectures
• Build robust compression pipelines and establish performance and fidelity metrics
• Address bottlenecks in production inference
• Develop scalable, low-memory, low-latency AI systems for edge devices such as smartphones
• Document methodologies, experiments, and results for reproducibility and collaboration
• Author technical papers and publish findings in conferences including NeurIPS, ICML, ICLR, CVPR, ACL, and AAAI

• A degree in Computer Science or related field
• PhD in NLP, Machine Learning, or a related field is ideally preferred
• Solid track record in AI R&D with good publications in A* conferences
• Experience with PyTorch deep learning frameworks or equivalent frameworks
• Hands-on experience with Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ)
• Research and hands-on experience with knowledge distillation
• Research and hands-on experience with model pruning
• Solid understanding of neural network architectures and training processes, including transformers, LLMs, VLMs, backpropagation, optimization, and fine-tuning techniques
• Familiarity with C++ is a plus
• Excellent English communication skills
• Must specify the country from which they will work

• Remote work from anywhere in the world
• Opportunity to collaborate with a global team and leading minds in fintech, AI, and blockchain
• Work on innovative digital finance, blockchain, AI, and peer-to-peer technology products
• Opportunity to author technical papers and publish findings in top-tier conferences
• Professional and research collaboration opportunities