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- Tasks: Work on speech algorithms and collaborate with top researchers in AI.
- Company: Leading tech company in London focused on innovative speech technologies.
- Benefits: Gain valuable experience in a cutting-edge environment with flexible internship duration.
- Why this job: Make an impact in the exciting field of Speech & Voice AI.
- Qualifications: Pursuing or have a Ph.D. in relevant fields, with coding skills in C/C++ and Python.
- Other info: Multiple start dates available for a dynamic internship experience.
The predicted salary is between 1650 - 1650 £ per month.
A leading technology company in London seeks Research Scientist Interns to join their AI Speech team. The interns will work on speech algorithms, collaborate with researchers, and publish findings.
Candidates should be pursuing or have a Ph.D. in relevant fields, with experience in C/C++, Python, and deep learning frameworks.
This internship offers valuable experience in an innovative environment focused on cutting-edge speech technologies. Duration ranges from 12 to 24 weeks with multiple start dates.
Research Scientist Intern, Speech & Voice AI — London employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist Intern, Speech & Voice AI — London
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn, especially those in the AI Speech team. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your work with speech algorithms or deep learning. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to AI and speech technologies. We can even do mock interviews with friends to boost our confidence before the big day.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight our relevant skills and experiences directly related to the internship.
We think you need these skills to ace Research Scientist Intern, Speech & Voice AI — London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with C/C++, Python, and any deep learning frameworks you've worked with. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific internship. Mention your interest in speech algorithms and how your background fits into our AI Speech team. It’ll make you stand out!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant. Let us see your passion without wading through fluff!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details you need right there!
How to prepare for a job interview at Meta
✨Know Your Algorithms
Brush up on the latest speech algorithms and be ready to discuss them. Make sure you can explain how they work and their applications in real-world scenarios, as this will show your passion and understanding of the field.
✨Showcase Your Coding Skills
Be prepared to demonstrate your proficiency in C/C++ and Python. You might be asked to solve coding problems or discuss your previous projects, so have examples ready that highlight your experience with deep learning frameworks.
✨Research the Company
Familiarise yourself with the company’s recent projects and publications in AI Speech. This will not only help you answer questions but also allow you to ask insightful questions, showing your genuine interest in their work.
✨Prepare for Collaboration Questions
Since you'll be working closely with researchers, expect questions about teamwork and collaboration. Think of examples from your past experiences where you successfully worked in a team, especially in research settings.