At a Glance
- Tasks: Drive innovation in AI model architecture and enhance intelligence through cutting-edge techniques.
- Company: Join Tether, a leader in digital finance, pioneering blockchain solutions globally.
- Benefits: Work remotely with a global team and enjoy opportunities for growth and collaboration.
- Other info: Hands-on experience with large-scale LLM training and expertise in PyTorch and Hugging Face is essential.
- Why this job: Be part of a fintech revolution, pushing boundaries and making a real impact in AI.
- Qualifications: Degree in Computer Science; ideally a PhD in NLP or Machine Learning with strong AI R&D experience.
The predicted salary is between 36000 - 60000 £ per year.
AI Research Engineer (Pre-training) at Tether.io
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 deep expertise in LLM architectures and a strong grasp of pre-training optimization with a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: data curation, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of AI performance.
Responsibilities
- Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs.
- Design, prototype, and scale innovative architectures to enhance model intelligence.
- Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance.
- Investigate, debug, and improve both model efficiency and computational performance.
- Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms.
Qualifications
- A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
- Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
- Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
- Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
- Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
Employment type
- Full-time
Seniority level
- Not Applicable
Industries
- Technology, Information and Internet
Note: This description reflects the role and responsibilities as described; some content in the source text was removed to improve clarity and compliance.
AI Research Engineer (Pre-training) employer: Tether.io
At Tether, we are at the forefront of the digital finance revolution, offering a dynamic and innovative work environment that fosters creativity and collaboration. Our remote-first culture allows you to work alongside some of the brightest minds in fintech, while our commitment to employee growth ensures you have access to continuous learning opportunities. Join us to be part of a team that values transparency, sustainability, and cutting-edge technology, all while making a meaningful impact on the future of finance.
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 machine learning, particularly in large language models (LLMs). This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the fintech and AI sectors. Attend relevant conferences or webinars where you can meet industry experts and learn about the latest trends, which could give you an edge when discussing your insights during the interview process.
✨Tip Number 3
Showcase your hands-on experience with tools like PyTorch and Hugging Face. If you have personal projects or contributions to open-source initiatives, be ready to discuss these in detail, as practical experience is highly valued in this role.
✨Tip Number 4
Prepare to discuss specific challenges you've faced in AI model training and how you overcame them. Highlighting your problem-solving skills and innovative thinking will demonstrate your capability to contribute effectively to Tether's mission.
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 requirements of the AI Research Engineer position at Tether. Familiarise yourself with their innovative products and how your skills can contribute to their mission.
Tailor Your CV:Craft your CV to highlight relevant experience in AI, particularly in LLM architectures and pre-training optimisation. Include specific projects or research that demonstrate your expertise in large-scale model training and your familiarity with tools like PyTorch and Hugging Face.
Write a Compelling Cover Letter:In your cover letter, express your passion for fintech and innovation. Discuss how your background aligns with Tether's goals and mention any specific achievements that showcase your ability to drive advancements in AI technology.
Showcase Your Research:If you have publications or notable projects, be sure to mention them in your application. Highlight any contributions to A* conferences or significant advancements in AI R&D that demonstrate your capability to excel in this role.
How to prepare for a job interview at Tether.io
✨Showcase Your Technical Expertise
Make sure to highlight your deep understanding of LLM architectures and pre-training optimisation. Be prepared to discuss specific projects or research you've conducted, especially those involving large-scale AI models and distributed training frameworks.
✨Demonstrate Problem-Solving Skills
Tether values innovation, so be ready to share examples of how you've identified and resolved bottlenecks in previous projects. Discuss your approach to debugging and improving model efficiency, as this will showcase your analytical skills.
✨Familiarise Yourself with Tether's Products
Research Tether's innovative solutions, such as USDT and KEET. Understanding their products and how they leverage AI will help you align your skills with their mission and demonstrate your genuine interest in the company.
✨Prepare for Collaborative Scenarios
Since the role involves both independent and collaborative work, think of examples where you've successfully worked in teams. Highlight your communication skills and how you contribute to a positive team dynamic, which is crucial in a remote working environment.
