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- Tasks: Innovate AI architecture and enhance intelligence for advanced models in fintech.
- Company: Leading fintech company with a focus on cutting-edge AI technology.
- Benefits: Remote work, competitive salary, and the chance to collaborate with global talent.
- Why this job: Make impactful contributions to AI advancements in the fintech industry.
- Qualifications: PhD in NLP or Machine Learning and experience with LLM training on NVIDIA GPUs.
- Other info: Join a dynamic team and explore novel techniques in a fast-paced environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading fintech company is seeking an AI model team member to innovate architecture development for advanced models. You will enhance intelligence, improve efficiency, and explore novel techniques to advance AI.
The ideal candidate has a PhD in NLP or Machine Learning, along with practical experience in LLM training using NVIDIA GPUs. This remote role offers the opportunity to work with global talent and make impactful contributions in the fintech space.
Remote AI Research Engineer – Large-Scale LLMs in London employer: Tether Operations Limited
Contact Detail:
Tether Operations Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Research Engineer – Large-Scale LLMs in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the fintech and AI space on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository with your projects related to LLMs and NLP. This gives potential employers a tangible way to see what you can do, especially when applying through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to AI and machine learning, so you can confidently demonstrate your expertise.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in leaving a positive impression. It shows your enthusiasm for the role and keeps you fresh in their minds.
We think you need these skills to ace Remote AI Research Engineer – Large-Scale LLMs in London
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your PhD and any relevant experience in NLP or Machine Learning. We want to see how your background aligns with the innovative work we do at StudySmarter!
Tailor Your Application: Don’t just send a generic CV and cover letter. Take the time to customise your application to reflect how your skills can enhance our AI model team. We love seeing candidates who are genuinely interested in what we do!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity and brevity, so make sure your points are easy to understand and directly related to the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in the fintech space!
How to prepare for a job interview at Tether Operations Limited
✨Know Your Stuff
Make sure you brush up on your knowledge of NLP and Machine Learning. Be ready to discuss your PhD research and any practical experience you've had with LLM training, especially using NVIDIA GPUs. This will show that you're not just familiar with the theory but can also apply it in real-world scenarios.
✨Showcase Your Innovations
Prepare to talk about any innovative architecture developments or novel techniques you've explored in your previous roles. Highlight how these contributions have improved efficiency or intelligence in AI models. This will demonstrate your ability to think outside the box and contribute to the company's goals.
✨Understand the Fintech Landscape
Familiarise yourself with the fintech industry and how AI is shaping its future. Be prepared to discuss how your skills can specifically benefit the company and its projects. Showing that you understand their mission and challenges will set you apart from other candidates.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the team dynamics, ongoing projects, or the company’s vision for AI in fintech. This not only shows your interest but also helps you gauge if the company is the right fit for you.
