At a Glance
- Tasks: Join Meta to develop groundbreaking AI algorithms across various modalities like images and audio.
- Company: Meta, a leader in AI innovation with a focus on collaboration and creativity.
- Benefits: Gain hands-on experience, mentorship, and the chance to work on impactful projects.
- Other info: Flexible internship duration with opportunities for significant career advancement.
- Why this job: Make a real difference in AI technology while working with top researchers in the field.
- Qualifications: Pursuing a PhD in relevant fields and experience with programming languages like Python or C++.
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.
- Help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms based on the project.
- Perform research to advance the science and technology of intelligent machines.
- Enable 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.
- Contribute to research that can be applied to Meta product development when applicable.
Minimum Qualifications
- 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.
Preferred Qualifications
- 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.
Grounded Multimodal AI Research Intern in London employer: Meta Platforms, Inc.
Meta is an exceptional employer for those passionate about advancing artificial intelligence, offering a dynamic work culture that fosters innovation and collaboration. Interns in the Grounded Multimodal AI Research role will benefit from hands-on experience with cutting-edge technologies, mentorship from industry leaders, and opportunities for professional growth in a supportive environment. Located in a vibrant tech hub, Meta provides a unique chance to contribute to groundbreaking research while enjoying a diverse and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Grounded Multimodal AI Research Intern in London
✨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
Prepare for those interviews! Brush up on your technical skills, especially in Python and deep learning. Practice explaining your projects and how they relate to generative AI. We want to see your passion shine through!
✨Tip Number 3
Show off your work! If you've got any projects or research papers, make sure to have them ready to share. A strong portfolio can really set you apart from the crowd and demonstrate your skills in action.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye on the start dates and tailor your application to highlight your relevant experience in AI and machine learning.
We think you need these skills to ace Grounded Multimodal AI Research Intern in London
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for AI and generative modelling shine through. We want to see that you’re genuinely excited about the field and how you can contribute to our projects.
Tailor Your CV:Make sure your CV is tailored to highlight relevant experiences and skills that match the job description. We love seeing specific examples of your work in machine learning, deep learning, or any related projects you've tackled.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Be sure to mention any research you've done, especially if it relates to generative AI or multimodal systems. Keep it engaging and personal!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter.
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 audio processing. Being able to discuss these topics confidently will show your passion and expertise.
✨Showcase Your Projects
Prepare to talk about any relevant projects or research you've done, especially those that align with the job description. Highlight your contributions, the technologies you used, and the outcomes. This is your chance to demonstrate your hands-on experience!
✨Ask Smart Questions
Come prepared with insightful questions about the team’s current projects or challenges they face. This not only shows your interest but also your understanding of the field. It’s a great way to engage with your interviewers and leave a lasting impression.
✨Practice Collaboration Scenarios
Since collaboration is key in this role, think of examples where you've worked effectively in a team. Be ready to discuss how you communicated your ideas and contributed to group success. This will highlight your ability to work cross-functionally, which is crucial for this internship.
