Overview
AI Research Engineer (Fine-tuning) at Tether.io. Join the AI model team to drive innovation in supervised fine-tuning methodologies for advanced models. You will refine pre-trained models for enhanced intelligence, optimized performance, and domain-specific capabilities, covering systems from resource-efficient models to multi-modal architectures (text, images, audio).
Responsibilities
* Develop and implement state-of-the-art fine-tuning methodologies for pre-trained models with clear performance targets.
* Build, run, and monitor controlled fine-tuning experiments, track key performance indicators, and document iterative results against benchmark datasets.
* Identify and process high-quality domain-specific datasets with measurable criteria to improve model performance in fine-tuning tasks.
* Debug and optimize the fine-tuning process by analyzing computational and model performance metrics.
* Collaborate with cross-functional teams to deploy fine-tuned models into production pipelines with continual monitoring for improvements and domain adaptation.
Qualifications
* A degree in Computer Science or related field; ideally PhD in NLP, Machine Learning, or related field, with a solid track record in AI R&D and publications in A* conferences.
* Hands-on experience with large-scale fine-tuning experiments and demonstrated improvements in domain-specific model performance.
* Deep understanding of advanced fine-tuning methodologies, including transformer architectures and alternative approaches that enhance model intelligence, efficiency, and scalability.
* Strong expertise in PyTorch and Hugging Face libraries; practical experience developing fine-tuning pipelines and deploying refined models in production on target platforms.
* Experience applying empirical research to overcome fine-tuning bottlenecks, designing evaluation frameworks, and iterating on algorithmic improvements.
Employment details
* Employment type: Full-time
* Seniority level: Not Applicable
* Job function: Information Technology
* Industries: Technology, Information and Internet
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