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- Tasks: Leverage deep learning and NLP to create personalised learning experiences.
- Company: Leading Ed-Tech company in London with a focus on innovation.
- Benefits: Competitive compensation, continuous learning support, and hybrid work setup.
- Why this job: Join a dynamic team and shape the future of education through AI.
- Qualifications: PhD and 4+ years in NLP-focused deep learning roles.
- Other info: Exciting opportunity for career growth in a collaborative environment.
The predicted salary is between 60000 - 80000 £ per year.
A leading Ed-Tech company in London is seeking a Senior Applied AI Scientist to leverage deep learning and NLP for personalized learning experiences. You will contribute to developing scalable solutions and optimizing AI technologies, working in a hybrid setup.
The ideal candidate holds a PhD and has over 4 years of experience in NLP-focused deep learning roles.
The position offers competitive compensation and various benefits supporting continuous learning and development.
Senior AI Scientist: Multimodal Learning & Personalization employer: Preply Inc.
Contact Detail:
Preply Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Scientist: Multimodal Learning & Personalization
✨Tip Number 1
Network like a pro! Reach out to people in the Ed-Tech and AI fields on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in deep learning and NLP. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past experiences. We want to see how you think and solve problems, so practice makes perfect!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior AI Scientist: Multimodal Learning & Personalization
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in deep learning and NLP. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about personalised learning experiences and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Research: If you’ve got publications or significant projects, include them! We love seeing how you’ve contributed to the field of AI, especially in multimodal learning. It shows us your commitment and expertise.
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 at StudySmarter!
How to prepare for a job interview at Preply Inc.
✨Know Your Stuff
Make sure you brush up on your deep learning and NLP knowledge. Be ready to discuss specific projects you've worked on, especially those that involved multimodal learning. This will show that you not only understand the theory but also how to apply it in real-world scenarios.
✨Showcase Your Experience
With over 4 years of experience in NLP-focused deep learning roles, you should highlight your key achievements. Prepare examples that demonstrate how you've developed scalable solutions or optimised AI technologies. Use metrics where possible to quantify your impact.
✨Understand the Company’s Mission
Familiarise yourself with the Ed-Tech sector and the company's approach to personalised learning experiences. Being able to articulate how your skills align with their mission will set you apart and show your genuine interest in the role.
✨Prepare for Hybrid Work Questions
Since the position is hybrid, be ready to discuss how you manage your time and productivity in a flexible work environment. Share strategies that have worked for you in the past, as this will demonstrate your adaptability and commitment to collaboration.