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- Tasks: Optimise multimodal models and conduct independent research in AI.
- Company: Cutting-edge AI company focused on innovation and collaboration.
- Benefits: Full-time remote work with competitive salary and growth opportunities.
- Why this job: Make impactful contributions in the rapidly evolving AI industry.
- Qualifications: Experience in AI product development and deep learning frameworks required.
- Other info: Join a dynamic team and shape the future of AI technology.
The predicted salary is between 36000 - 60000 £ per year.
A cutting-edge AI company is seeking a Research Engineer specialized in Large Language Models. This full-time remote position in the UK involves optimizing multimodal models and conducting independent research.
Candidates should have extensive experience in AI product development and deep learning frameworks like PyTorch or TensorFlow. Collaboration with engineering teams and maintaining code health are also key components.
This role offers opportunities for impactful contributions in the AI industry.
Remote LLM Research Engineer - Multimodal AI Innovator employer: fastino.ai
Contact Detail:
fastino.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote LLM Research Engineer - Multimodal AI Innovator
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community, especially those working with LLMs. Join relevant forums or LinkedIn groups and engage in discussions – you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with PyTorch or TensorFlow. Highlight any independent research you've done on multimodal models. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as collaboration is key in this role. We want to see how well you can communicate your ideas!
✨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 their job search. Let’s make an impact together in the AI industry!
We think you need these skills to ace Remote LLM Research Engineer - Multimodal AI Innovator
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Large Language Models and deep learning frameworks like PyTorch or TensorFlow. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Research Skills: Since this role involves independent research, include any relevant publications or projects in your application. We’re keen to see how you approach problem-solving and innovation in the AI space!
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. Don’t miss out on the chance to join our cutting-edge team!
How to prepare for a job interview at fastino.ai
✨Know Your Models
Make sure you brush up on your knowledge of Large Language Models and multimodal AI. Be ready to discuss specific projects you've worked on, especially those involving PyTorch or TensorFlow. This shows you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Research Skills
Prepare to talk about your independent research. Highlight any innovative approaches you've taken and how they could apply to the company's goals. This is your chance to demonstrate your ability to think critically and contribute to cutting-edge developments.
✨Collaboration is Key
Since this role involves working closely with engineering teams, be prepared to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked with others to maintain code health and drive projects forward.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s future. Inquire about their current projects in AI and how they envision the role of a Research Engineer evolving. This demonstrates your enthusiasm and commitment to making an impact.
