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- Tasks: Innovate AI model architectures and enhance performance on large-scale systems.
- Company: Join Tether, a leader in digital finance revolutionising global transactions.
- Benefits: Enjoy remote work flexibility and collaborate with top talent in fintech.
- Why this job: Be part of a pioneering team pushing boundaries in AI and digital finance.
- Qualifications: Degree in Computer Science; PhD preferred, with strong AI R&D experience.
- Other info: Work with cutting-edge technology and thousands of NVIDIA GPUs.
The predicted salary is between 43200 - 72000 £ per year.
Join Tether and shape the future of digital finance. At Tether, we're pioneering a global financial revolution with innovative solutions that empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. Our blockchain technology enables instant, secure, and global digital token transactions at a fraction of the cost, built on transparency and trust.
Innovate with Tether
- Tether Finance: Our product suite includes the trusted stablecoin USDT, used worldwide, and pioneering digital asset tokenization services.
- Tether Power: We drive sustainable growth by optimizing excess energy for eco-friendly Bitcoin mining in geo-diverse facilities.
- Tether Data: We advance AI and peer-to-peer tech with solutions like KEET, our app for secure, private data sharing.
- Tether Education: We democratize digital learning, empowering individuals in the gig economy and driving global growth.
- Tether Evolution: We push technological boundaries to merge innovation with human potential, shaping a future of unprecedented possibilities.
Why Join Us?
Our global, remote team is passionate about fintech innovation. If you excel in English communication and want to contribute to a pioneering platform, Tether offers an environment to collaborate with top talent, push boundaries, and set new industry standards.
About the job:
As part of the AI model team, you'll innovate in architecture development for models of various scales, including small, large, and multi-modal systems. Your work will enhance AI capabilities, efficiency, and performance.
You should have deep expertise in LLM architectures, pre-training optimization, and a research-driven approach. Your goal is to explore and implement novel techniques, improve data curation, strengthen baselines, and resolve pre-training bottlenecks to advance AI performance.
Responsibilities:
- Conduct pre-training of AI models on large, distributed servers with thousands of NVIDIA GPUs.
- Design, prototype, and scale innovative architectures to improve model intelligence.
- Execute experiments, analyze results, and refine methodologies collaboratively.
- Debug and enhance model efficiency and computational performance.
- Advance training systems for seamless scalability and efficiency on target platforms.
Qualifications:
- Degree in Computer Science or related field; PhD in NLP, Machine Learning, or related fields preferred, with a strong record in AI R&D and publications in top conferences.
- Hands-on experience with large-scale LLM training on distributed NVIDIA GPU servers, ensuring scalability and impactful performance improvements.
- Practical knowledge of large-scale, distributed training frameworks and tools.
- Deep understanding of transformer and non-transformer modifications to enhance intelligence, efficiency, and scalability.
- Expertise in PyTorch and Hugging Face libraries, with practical experience in model development, pretraining, and deployment.
AI Research Engineer (Pre-training) employer: Tether Operations Limited
Contact Detail:
Tether Operations Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Engineer (Pre-training)
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and LLM architectures. Being well-versed in current trends and breakthroughs will not only boost your confidence during discussions but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the AI community through forums, webinars, and conferences. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals or recommendations for the position.
✨Tip Number 3
Prepare to discuss your hands-on experience with large-scale LLM training. Be ready to share specific examples of projects you've worked on, particularly those involving distributed NVIDIA GPU servers, as this will highlight your practical skills.
✨Tip Number 4
Showcase your problem-solving abilities by discussing past challenges you've faced in AI model development. Highlight how you approached these issues and the innovative solutions you implemented, as this aligns with Tether's focus on pushing technological boundaries.
We think you need these skills to ace AI Research Engineer (Pre-training)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the AI Research Engineer position at Tether. Tailor your application to highlight your relevant experience in LLM architectures and pre-training optimization.
Craft a Tailored CV: Your CV should reflect your expertise in AI and machine learning. Emphasise your hands-on experience with large-scale LLM training, your knowledge of PyTorch and Hugging Face, and any publications in top conferences. Make sure to align your skills with the job description.
Write a Compelling Cover Letter: In your cover letter, express your passion for fintech innovation and how your background makes you a perfect fit for Tether. Discuss specific projects or experiences that demonstrate your ability to innovate in AI model architecture and your research-driven approach.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any grammatical errors or typos. A polished application reflects your attention to detail and professionalism, which are crucial in a technical role like this.
How to prepare for a job interview at Tether Operations Limited
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with large-scale LLM training and the specific frameworks you've used, such as PyTorch and Hugging Face. Highlight any projects where you successfully implemented innovative architectures or optimised pre-training processes.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Be ready to explain how you approach debugging and enhancing model efficiency. Use examples from your past work to illustrate your problem-solving strategies and methodologies.
✨Communicate Clearly and Effectively
Since Tether values strong English communication skills, practice articulating your thoughts clearly. Be concise when explaining complex concepts, and ensure you can convey your ideas in a way that is understandable to both technical and non-technical audiences.
✨Research Tether's Innovations
Familiarise yourself with Tether's products and their impact on digital finance. Understanding their mission and recent developments will allow you to align your answers with their goals and demonstrate your genuine interest in contributing to their pioneering platform.
