At a Glance
- Tasks: Develop cutting-edge generative AI algorithms and collaborate on innovative research projects.
- Company: Join Meta, a leader in advancing artificial intelligence technologies.
- Benefits: Gain hands-on experience, mentorship, and the chance to work on impactful projects.
- Other info: Internships last 12-24 weeks with flexible start dates and excellent career growth opportunities.
- Why this job: Make significant contributions to AI while working with top researchers in the field.
- Qualifications: PhD candidate in relevant fields with experience in Python, C++, or Java.
The predicted salary is between 20000 - 30000 £ per year.
Meta is seeking Research Interns to join our Generative AI efforts across modalities (images, video, 3D, audio, etc.). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as generative modeling, deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.
Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
Responsibilities- Develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques.
- Based on the project, help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
- Perform research to advance the science and technology of intelligent machines.
- Perform research that enables learning the semantics of and training generative models of data (images, video, 3D, text, audio, and other modalities).
- Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
- Disseminate research results.
- When applicable, contribute to research that can be applied to Meta product development.
- Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Audio Processing, Artificial Intelligence, Generative AI, or relevant technical field.
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
- Experience with Python, C++, C, Java or other related languages.
- Experience building systems based on machine learning and/or deep learning methods.
- Intent to return to the degree program after the completion of the internship/co-op.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL or similar.
- Experience working and communicating cross functionally in a team environment.
- Experience in advancing AI techniques, including core contributions to open source libraries and frameworks in computer vision.
- Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science.
- Experience solving analytical problems using quantitative approaches.
- Experience setting up ML experiments and analyzing their results.
- Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
- Experience in utilizing theoretical and empirical research to solve problems.
- Experience with deep learning frameworks.
Research Scientist Intern, Grounded Multimodal Understanding (PhD) employer: Meta Platforms, Inc.
Meta is an exceptional employer for aspiring Research Scientists, offering a dynamic work culture that fosters innovation and collaboration in the cutting-edge field of generative AI. Interns benefit from hands-on experience with state-of-the-art technologies, access to mentorship from industry leaders, and opportunities for professional growth within a globally recognised organisation. Located in a vibrant tech hub, Meta provides a unique environment where creativity thrives, making it an ideal place for those passionate about advancing artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist Intern, Grounded Multimodal Understanding (PhD)
✨Tip Number 1
Network like a pro! Reach out to current or former interns at Meta on LinkedIn. Ask them about their experiences and any tips they might have. This can give you insider knowledge and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to generative AI, deep learning, or any relevant work. Make sure it’s easy to navigate and highlights your best work—this is your chance to shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Practice coding challenges and be ready to discuss your research in detail. We want to see your passion and expertise, so don’t hold back!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye on upcoming internship start dates and tailor your application to match the specific role you’re interested in.
We think you need these skills to ace Research Scientist Intern, Grounded Multimodal Understanding (PhD)
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for generative AI and related fields shine through. We want to see that you're genuinely excited about the work we do at Meta and how you can contribute to our projects.
Tailor Your CV:Make sure your CV highlights relevant experience in deep learning, computer vision, or any other areas mentioned in the job description. We love seeing how your background aligns with our needs, so don’t be shy about showcasing your skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this internship. Share specific examples of your research or projects that relate to generative AI, and explain how they’ve prepared you for this role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re proactive and serious about joining our team!
How to prepare for a job interview at Meta Platforms, Inc.
✨Know Your Stuff
Make sure you brush up on the latest trends in generative AI and deep learning. Familiarise yourself with key concepts like machine learning, computer vision, and natural language processing. Being able to discuss recent advancements or your own research will show your passion and expertise.
✨Showcase Your Projects
Prepare to talk about your previous work, especially any projects related to AI or machine learning. Highlight specific challenges you faced, how you overcame them, and the impact of your work. If you have publications or contributions to open-source projects, be ready to discuss those too!
✨Collaborate and Communicate
Since collaboration is key in this role, think of examples where you've worked in a team. Be prepared to discuss how you communicated complex ideas to non-experts and how you handled feedback. This will demonstrate your ability to work cross-functionally.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the tools they use, or how they measure success. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
