At a Glance
- Tasks: Solve research problems in photorealistic telepresence and collaborate with diverse teams.
- Company: Join Meta, a leader in connecting communities through innovative technology.
- Benefits: Gain hands-on experience, work on cutting-edge projects, and enhance your skills.
- Other info: Internships last 12-24 weeks with flexible start dates throughout the year.
- Why this job: Be part of a revolutionary team shaping the future of AR, VR, and AI.
- Qualifications: PhD candidates with expertise in Computer Vision, Generative Models, or Computer Graphics.
The predicted salary is between 70000 - 90000 £ per year.
Meta’s mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Our org, XR Codec Interactions and Avatar, is looking for exceptional research interns to help us create a revolution in AR, VR and wearable AI: achieving true photorealistic telepresence, where you can be with anyone, anywhere, at any time.
We have made numerous important advances, and it will take a diverse team with a wide spectrum of skills to accomplish this future. If you have expertise in Computer Vision, Generative Model, or Computer Graphics, we expect you will find the work here highly intriguing. We regularly publish our work at leading conferences and journals.
Available projects may include, but are not limited to:
- Generative AI models for image and video synthesis
- Motion and behavior synthesis for digital humans
- Modeling and encoding of social signals
- Face and body reconstruction and tracking
- Large Foundational Models or Multimodal LLMs, such as speech-to-speech LLMs and audio-visual LLMs
Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.
Responsibilities:
- Solve research problems in enabling photorealistic telepresence and autonomous social agents.
- Collaboration with and support of other researchers across various disciplines.
- Communication of research agenda, progress, and results.
Minimum Qualifications:
- Experience with solving “inverse problems” in imaging emphasizing modeling and algorithm development.
- Experience with Machine Learning for solving computer vision and computer graphics problems.
- Experience with deep learning frameworks such as Pytorch and TensorBoard.
- Experience with scientific programming languages such as Python.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
- Proven track record of achieving significant results as demonstrated by patents and first-authored publications at leading workshops or conferences such as ICCV, CVPR, NeurIPS, SIGGRAPH, ICASSP, or similar.
- Intent to return to a degree-program after the completion of the internship.
- Experience working and communicating cross functionally in a team environment.
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
- Experience with systems building in Python or C++.
- Experience with large-scale generative models such as LLMs and video diffusion models.
- Experience with Machine Learning for audio and visual synthesis.
Industry: Internet
Research Scientist Intern, Photorealistic Telepresence (PhD) in London employer: Meta
Meta is an exceptional employer that fosters a culture of innovation and collaboration, empowering employees to push the boundaries of technology in a supportive environment. As a Research Scientist Intern, you'll have the opportunity to work on groundbreaking projects in AR, VR, and AI, while benefiting from a diverse team that values your unique skills and perspectives. With a commitment to employee growth and a mission to connect communities globally, Meta offers a rewarding experience for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist Intern, Photorealistic Telepresence (PhD) in London
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Research Scientist Intern, Photorealistic Telepresence (PhD) in London
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Meta will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Meta
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Meta.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Meta that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
