At a Glance
- Tasks: Drive innovation in AI model architecture and enhance multi-modal systems.
- Company: Join Tether, a leader in the fintech revolution with a global remote team.
- Benefits: Work remotely, collaborate with top minds, and contribute to groundbreaking projects.
- Other info: Dynamic environment with opportunities for impactful contributions and career growth.
- Why this job: Be at the forefront of AI advancements and shape the future of digital finance.
- Qualifications: PhD in NLP or Machine Learning, with hands-on experience in large-scale AI R&D.
The predicted salary is between 40500 - 49500 £ per year.
Join Tether and shape the future of digital finance. At Tether, we’re pioneering a global financial revolution with cutting-edge solutions that empower businesses to seamlessly integrate reserve-backed tokens across blockchains. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
About the job
As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements.
- Large-Scale Pre-Training: Conduct foundational pre-training for LLMs and Multi-Modal models on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
- Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers.
- Data Strategy: Source, filter, and curate massive-scale textual and multi-modal datasets.
- Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies.
- Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency and performance.
- System Scalability: Contribute to the advancement of distributed training systems.
A degree in Computer Science or related field is required, ideally a PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D. Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs is essential, along with familiarity with large-scale, distributed training frameworks, libraries, and tools. Strong expertise in PyTorch and Hugging Face libraries is also required.
AI Research Engineer (Pre-training - LLM & Multi-Modal) - 100% Remote Worldwide employer: Tether
Tether is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for an Edge AI Inference Engineer. With a strong emphasis on employee growth, Tether offers numerous opportunities for professional development and encourages team members to push the boundaries of AI technology in a supportive environment. Located in a vibrant tech hub, employees benefit from a dynamic work atmosphere and access to cutting-edge resources, ensuring that your contributions have a meaningful impact on real-world applications.
