At a Glance
- Tasks: Join the Meta AI Speech team to develop cutting-edge speech technologies and algorithms.
- Company: Meta, a leader in AI innovation and community connection.
- Benefits: Gain hands-on experience, mentorship, and work on impactful projects in a dynamic environment.
- Other info: Internships last 12-24 weeks with flexible start dates throughout the year.
- Why this job: Make a real difference in voice interfaces and contribute to the future of communication.
- Qualifications: PhD student with experience in C/C++, Python, and deep learning frameworks.
The predicted salary is between 20000 - 30000 £ per year.
We are looking for Research Scientist Interns to join the Meta AI Speech team in London. Our team creates spoken language technologies to make it faster and easier for people to build community and connect with others around the world. We conduct product-motivated research in ML/AI and design, develop and deploy state-of-the-art algorithms to the rest of Meta.
We work on all aspects of AI for speech and audio processing, including:
- Speech recognition
- Speech synthesis
- Speaker identification
- Keyword spotting
- Acoustic event detection
Our work is largely focused on the areas of voice interfaces, including speech technologies for Ray-Ban | Meta RayBan smart glasses, Quest 3 mixed-reality headsets, Augmented Reality, the Metaverse, and understanding video on Facebook and Instagram, including transcription, captioning, and content understanding.
As a Research Scientist Intern, you will help us develop innovative models and algorithms and apply them to large-scale production speech tasks. Our teams at Meta AI offer twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.
Responsibilities
- Perform research to advance the science and technology of intelligent machines.
- Develop novel and accurate speech algorithms and systems, leveraging deep learning and machine learning on big data resources.
- Contribute research that can be applied to Meta product development.
- Analyze and improve efficiency, scalability, and stability of various deployed systems.
- Collaborate with team members from prototyping to production.
Minimum Qualifications
- Currently has, or is in the process of obtaining a PhD degree.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Experience in C/C++ and Python.
- Experience in deep learning frameworks such as PyTorch, Tensorflow.
- Research and/or work experience in machine learning, deep learning, and/or speech technology.
Preferred Qualifications
- Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
- Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as Interspeech, ICASSP or similar.
- A strong interest in theoretical and empirical research and for answering hard questions with research.
- Interpersonal experience: cross-group and cross-culture collaboration.
- Ability to stay in touch with the literature of a particular domain and has the ability to reproduce results if needed.
- Experienced with training deep neural networks for key Speech tasks such as speech recognition, speech synthesis, speech translation, speaker diarization, sentiment analysis, acoustic event recognition, scene understanding, wake word, etc.
- Experience working with other modalities such as vision and text understanding is a plus.
- Intent to return to the degree-program after the completion of the internship/co-op.
Research Scientist Intern, Speech & Audio Technologies (PhD) in London employer: Meta Platforms, Inc.
Meta AI offers an exceptional work environment for Research Scientist Interns in London, where innovation meets collaboration. With a focus on cutting-edge speech and audio technologies, employees benefit from a culture that encourages creativity and professional growth, alongside opportunities to contribute to impactful projects in the Metaverse. The internship programme provides valuable experience in a dynamic team, fostering both personal and career development in a globally recognised tech leader.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist Intern, Speech & Audio Technologies (PhD) in London
✨Tip Number 1
Network like a pro! Reach out to current or former interns and employees at Meta AI. They can give you insider tips on the interview process and what the team values most. Plus, it’s a great way to get your name out there!
✨Tip Number 2
Show off your projects! If you've worked on any relevant research or personal projects, make sure to highlight them in your conversations. Discussing your hands-on experience with speech technologies can really set you apart from other candidates.
✨Tip Number 3
Prepare for technical interviews! Brush up on your coding skills in C/C++ and Python, and be ready to tackle questions related to deep learning frameworks like PyTorch and TensorFlow. Practising common algorithms and data structures will also help you shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Meta AI team and contributing to cutting-edge research.
We think you need these skills to ace Research Scientist Intern, Speech & Audio Technologies (PhD) in London
Some tips for your application 🫡
Show Your Passion for Speech Tech:When you're writing your application, let your enthusiasm for speech and audio technologies shine through. We want to see that you’re genuinely excited about the work we do at Meta AI and how it connects people globally.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your experience with deep learning frameworks and any relevant projects you've worked on. We love seeing how your skills align with our mission!
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to describe your research experience and technical skills. We appreciate clarity, and it helps us understand your background better.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way to ensure it gets into the right hands. Plus, it shows you’re serious about joining our team at Meta AI.
How to prepare for a job interview at Meta Platforms, Inc.
✨Know Your Stuff
Make sure you brush up on your knowledge of speech technologies and machine learning. Familiarise yourself with the latest research and developments in the field, especially those related to Meta's projects. Being able to discuss recent papers or breakthroughs will show your passion and expertise.
✨Showcase Your Skills
Prepare to demonstrate your programming skills in C/C++ and Python. You might be asked to solve a coding problem or discuss your previous projects. Have examples ready that highlight your experience with deep learning frameworks like PyTorch or TensorFlow, and be ready to explain your thought process.
✨Collaborative Spirit
Since collaboration is key in this role, think of examples from your past experiences where you worked effectively in a team. Be prepared to discuss how you handle feedback and contribute to group projects, especially in cross-cultural settings. This will show that you can thrive in Meta's diverse environment.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, challenges they face, or how they measure success in their research. This not only shows your interest but also helps you gauge if the role aligns with your career goals.
