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- Tasks: Drive innovation in AI model architecture and enhance intelligence with cutting-edge techniques.
- Company: Join Tether, a leader in digital finance and blockchain technology.
- Benefits: 100% remote work, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a global team shaping the future of fintech and AI.
- Qualifications: Degree in Computer Science; PhD preferred, with experience in AI R&D.
- Other info: Collaborate with top minds and push the boundaries of AI performance.
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 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 optimise 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, our flagship app.
- Tether Education: Democratising access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies.
- Tether Evolution: At the intersection of technology and human potential, we are 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. Your work will enhance intelligence, improve efficiency, and introduce new capabilities. You will have deep expertise in LLM architectures and a strong grasp of pre-training optimization.
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, analyse 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 a PhD in NLP, Machine Learning, or a related field.
- Hands-on experience contributing to large-scale LLM training runs on large, distributed servers.
- 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.
- Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development.
AI Research Engineer - Pre training (100% Remote) in London 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 (100% Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and AI space on LinkedIn or Twitter. Join relevant groups and participate in discussions. You never know who might have a lead on that perfect job at Tether!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and machine learning. This is your chance to demonstrate your expertise in LLM architectures and pre-training optimisation—make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as communication is key at Tether. We want to see how you think and approach challenges!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our innovative team at Tether.
We think you need these skills to ace AI Research Engineer - Pre training (100% Remote) in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for AI and fintech shine through! We want to see how excited you are about the role and how you can contribute to our mission at Tether.
Tailor Your CV: Make sure your CV is tailored to highlight your relevant experience in AI research and model development. We love seeing specific examples of your work with LLM architectures and any innovative projects you've been part of.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your journey in AI, your research interests, and how they align with what we do at Tether. Keep it engaging and personal!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us that you’re serious about joining our team!
How to prepare for a job interview at Tether Operations Limited
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLM architectures and pre-training optimisation. Be ready to discuss your hands-on experience with large-scale training runs and how you've tackled challenges in the past. This is your chance to show off your expertise!
✨Show Your Problem-Solving Skills
Prepare to share specific examples of how you've investigated and debugged model efficiency issues. Think about times when you identified bottlenecks and what innovative solutions you implemented. Companies love candidates who can think critically and creatively!
✨Familiarise Yourself with Their Tech Stack
Get to know the tools and frameworks mentioned in the job description, like PyTorch and Hugging Face. If you have experience with distributed training frameworks, be ready to discuss that too. Showing that you're already familiar with their tech will give you a leg up!
✨Ask Insightful Questions
Prepare some thoughtful questions about Tether's projects and future directions in AI. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it makes for a more engaging conversation!
