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- Tasks: Develop and optimise AI models, focusing on efficiency and performance.
- Company: Join Tether, a leader in innovative blockchain solutions for digital finance.
- Benefits: Enjoy remote work, collaborate globally, and access unique fintech projects.
- Why this job: Be part of a revolutionary team shaping the future of finance with cutting-edge technology.
- Qualifications: Degree in Computer Science or related field; PhD preferred, with experience in LLM training.
- Other info: Work with industry leaders and contribute to impactful digital learning initiatives.
The predicted salary is between 36000 - 60000 £ per year.
Join Tether and Shape the Future of Digital Finance. At Tether, we’re pioneering a global financial revolution with innovative blockchain solutions that enable seamless digital token transactions securely and transparently.
Our Products:
- Tether Finance: Trusted stablecoin USDT and digital asset tokenization services.
- Tether Power: Eco-friendly energy solutions for Bitcoin mining.
- Tether Data: AI and data sharing solutions like KEET.
- Tether Education: Digital learning initiatives for individuals.
- Tether Evolution: Merging technology with human potential.
Why Join Us?
Work remotely with a global team, collaborate with industry leaders, and contribute to innovative fintech solutions. If you have excellent English skills and a passion for fintech innovation, Tether is the place for you.
About the job:
As part of the AI model team, you will develop architectures for models of various scales, focusing on enhancing AI capabilities and efficiency. Your expertise in LLM architectures and pre-training optimization will drive research and implementation of novel techniques to advance AI performance.
Responsibilities:
- Pre-train AI models on large distributed GPU servers.
- Design and prototype scalable architectures.
- Conduct experiments, analyze results, and refine methodologies.
- Debug and improve model efficiency and performance.
- Advance training systems for scalability and efficiency.
Qualifications:
A degree in Computer Science or related field, preferably a PhD in NLP or Machine Learning, with a strong publication record. Hands-on experience with large-scale LLM training and familiarity with frameworks like PyTorch and Hugging Face are essential.
AI Research Engineer (Pretraining) 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 (Pretraining)
✨Tip Number 1
Familiarise yourself with Tether's products and services, especially their AI and data sharing solutions like KEET. Understanding their offerings will help you tailor your discussions during interviews and demonstrate your genuine interest in their mission.
✨Tip Number 2
Network with current or former employees of Tether on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and the specific challenges they face, which you can address in your conversations.
✨Tip Number 3
Stay updated on the latest trends in AI, particularly in LLM architectures and pre-training optimisation. Being knowledgeable about recent advancements will not only enhance your expertise but also show your commitment to continuous learning in the field.
✨Tip Number 4
Prepare to discuss your hands-on experience with large-scale LLM training and frameworks like PyTorch and Hugging Face. Be ready to share specific examples of projects you've worked on, as this will highlight your practical skills and suitability for the role.
We think you need these skills to ace AI Research Engineer (Pretraining)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, particularly with LLM architectures and pre-training optimisation. Include specific projects or publications that demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for fintech innovation and your understanding of Tether's mission. Mention how your skills align with the responsibilities of the AI Research Engineer role and why you want to be part of their team.
Highlight Technical Skills: Clearly list your technical skills, especially your hands-on experience with frameworks like PyTorch and Hugging Face. Provide examples of how you've used these tools in past projects to enhance model performance.
Proofread Your Application: Before submitting, thoroughly proofread your application materials. Check for grammatical errors, clarity, and ensure that all information is accurate. A polished application reflects your attention to detail.
How to prepare for a job interview at Tether Operations Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with large-scale LLM training and frameworks like PyTorch and Hugging Face. Bring examples of past projects or research that demonstrate your expertise in these areas.
✨Understand the Company’s Vision
Familiarise yourself with Tether's products and their impact on digital finance. Showing that you understand their mission and how your role as an AI Research Engineer fits into it can set you apart from other candidates.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly, as this will demonstrate your analytical skills and ability to communicate complex ideas effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future directions of Tether's AI initiatives. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
