At a Glance
- Tasks: Develop machine learning systems and create web applications for global connectivity.
- Company: Leading internet company in Greater London with a focus on innovation.
- Benefits: Gain hands-on experience, work on transformational projects, and network with industry leaders.
- Why this job: Make a real impact in AI/ML while connecting people worldwide.
- Qualifications: PhD in a relevant field and coding experience in Python and C/C++.
- Other info: Internships last 12 to 24 weeks with excellent career development opportunities.
The predicted salary is between 1600 - 2000 £ per month.
A leading internet company in Greater London is seeking PhD interns for their Machine Learning teams. Interns will work on developing machine learning systems, creating web applications, and building high-volume servers.
Required qualifications include:
- A PhD in a relevant field
- Experience in coding with Python and C/C++
Internships last 12 to 24 weeks, providing opportunities to engage in transformational projects that connect people worldwide.
PhD AI/ML Research Scientist Intern — Ads Growth employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD AI/ML Research Scientist Intern — Ads Growth
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn and ask about their experiences. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in machine learning and web applications. 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 Python and C/C++ coding skills, and be ready to discuss your research. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace PhD AI/ML Research Scientist Intern — Ads Growth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD work and any relevant projects. We want to see how your experience aligns with the role, so don’t be shy about showcasing your skills in Python and C/C++!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI/ML and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any machine learning systems or web applications, make sure to mention them! We’re interested in seeing real examples of your work, so include links or descriptions of your projects.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Meta
✨Know Your Stuff
Make sure you’re well-versed in the latest trends and technologies in AI and machine learning. Brush up on your Python and C/C++ coding skills, as you might be asked to solve problems or discuss your previous projects during the interview.
✨Showcase Your Projects
Prepare to talk about your PhD research and any relevant projects you've worked on. Highlight how your work can contribute to developing machine learning systems and web applications, especially in the context of ads growth.
✨Ask Smart Questions
Interviews are a two-way street! Prepare insightful questions about the company’s current projects, team dynamics, and how they measure success in their machine learning initiatives. This shows your genuine interest and helps you assess if it’s the right fit for you.
✨Practice Problem-Solving
Expect technical questions or coding challenges related to machine learning. Practice common algorithms and data structures, and be ready to explain your thought process clearly. This will demonstrate your analytical skills and ability to tackle complex problems.