At a Glance
- Tasks: Join Meta to develop cutting-edge generative AI algorithms across various modalities.
- Company: Meta, a leader in AI innovation and technology.
- 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 potential.
- Why this job: Make significant contributions to AI research and shape the future of technology.
- Qualifications: PhD student in relevant fields with programming skills 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.
Grounded Multimodal AI Research Intern 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Meta or similar companies. Use platforms like LinkedIn to connect and engage with them; you never know who might help you land that internship!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to generative AI, deep learning, or any relevant tech. This will give you an edge during interviews and show that you're not just talk but can back it up with real work.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of algorithms. Practice common interview questions and problems related to AI and machine learning. We recommend using platforms like LeetCode or HackerRank to get in the zone.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get your application in and let’s make some AI magic happen!
We think you need these skills to ace Grounded Multimodal AI Research Intern
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for AI and research shine through! We want to see that you’re genuinely excited about the field and how you can contribute to our generative AI efforts.
Tailor Your CV:Make sure your CV is tailored to highlight relevant experiences and skills that match the job description. We love seeing specific projects or research that align with generative modelling, deep learning, or any of the other areas mentioned.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your journey in AI, any cool projects you've worked on, and how you envision contributing to our team. Keep it engaging!
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, we love seeing candidates who take the initiative to follow our process.
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 recent advancements or your own projects will show your passion and expertise.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, especially those involving Python, C++, or deep learning frameworks. Highlight specific challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and hands-on experience.
✨Collaborate and Communicate
Since collaboration is key in research roles, think of examples where you've successfully worked in a team. Be ready to discuss how you communicated your ideas and findings to others, as this will show your ability to work cross-functionally.
✨Ask Insightful Questions
Prepare thoughtful questions about the team's current projects or the technologies they use. This not only shows your interest but also gives you a chance to assess if the role aligns with your career goals. It’s a win-win!
