At a Glance
- Tasks: Drive innovation in AI model architecture and enhance multi-modal systems.
- Company: Join Tether, a leader in the fintech revolution, working remotely worldwide.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with top talent globally in a dynamic and innovative environment.
- Why this job: Be at the forefront of AI advancements and make a real impact in digital finance.
- Qualifications: PhD in NLP or Machine Learning, with hands-on experience in large-scale AI projects.
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.
Innovate with Tether:
- Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide.
- Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices.
- Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we enhance global communications with cutting-edge solutions like KEET.
- Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies.
- Tether Evolution: We are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds.
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.
Responsibilities:
- Conduct foundational pre-training for LLMs and Multi-Modal models on large, distributed servers equipped with thousands of NVIDIA GPUs.
- Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers.
- Source, filter, and curate massive-scale textual and multi-modal datasets.
- Independently and collaboratively execute experiments, analyze results, and refine training methodologies.
- Investigate, debug, and eliminate bottlenecks in model efficiency and performance.
- Contribute to the advancement of distributed training systems for seamless scalability.
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 with large-scale LLM or Multi-Modal pre-training runs is essential, along with familiarity with large-scale, distributed training frameworks 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.io
Join our dynamic Finance team in London, where we foster a collaborative and innovative work culture that prioritises employee growth and development. As an Operations Specialist, you'll benefit from competitive compensation, comprehensive training, and the opportunity to work with cutting-edge technology in the fast-paced financial markets. We value detail-oriented individuals who thrive in a challenging environment and are committed to optimising processes for operational excellence.
