At a Glance
- Tasks: Join a team pushing the boundaries of AI research and contribute to groundbreaking projects.
- Company: Meta, a leader in technology and innovation, focused on Generative AI.
- Benefits: Access to cutting-edge tech, collaborative environment, and opportunities for impactful research.
- Other info: Dynamic, interdisciplinary team with excellent career growth potential.
- Why this job: Make a real difference in AI while working with top experts in the field.
- Qualifications: PhD in a quantitative field and experience with NLP and foundation models.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
Meta is seeking Research Scientists to join its Generative AI (GenAI) organization, focused on making significant advances in AI. We work on the flagship Llama language models and publish state-of-the-art research in Machine Learning. We are currently seeking talented researchers with experience in NLP to join our London site and work with us on extending the capabilities of large foundation models.
Researchers will drive impact by:
- publishing state-of-the-art research papers,
- open sourcing high quality code and reproducible results for the community, and
- bringing the latest research to Facebook products for connecting billions of users.
The chosen candidate(s) will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross‑functional partners, and will have access to cutting‑edge technology, resources, and research facilities.
Responsibilities
- Work towards long‑term ambitious research goals, while identifying intermediate milestones.
- Influence progress of relevant research communities by producing publications.
- Contribute research that can be applied to Meta product development.
- Lead and collaborate on research projects within a globally based team.
Minimum Qualifications
- PhD degree in Computer Science, Mathematics, or similar quantitative field.
- First‑author publications at peer‑reviewed AI conferences (e.g. ACL, EMNLP, NeurIPS, ICML, ICLR).
- Experience in training, fine‑tuning, and/or experimenting with foundation models beyond black‑box use.
- Familiarity with one or more deep learning frameworks (e.g. pytorch, tensorflow, …).
- Ability to communicate complex research both in writing and orally for public audiences of peers.
- Knowledge in a programming language.
Preferred Qualifications
- High‑impact publications at peer‑reviewed AI conferences (e.g. ACL, EMNLP, NeurIPS, ICML, ICLR), as witnessed by citations and other signs of influencing the research community.
- Experience in AI research beyond completing a PhD.
- Experience in developing and debugging beyond ML experimentation.
- Experience in working in an industry research environment.
- Experience in coordinating the research of PhD students or other researchers.
Research Scientist, NLP (GenAI) employer: Gravity Engineering Services Pvt Ltd.
Meta is an exceptional employer for Research Scientists in NLP, offering a vibrant work culture that fosters innovation and collaboration. Located in London, our team benefits from access to cutting-edge technology and resources, alongside opportunities for professional growth through impactful research and publication. Join us to contribute to groundbreaking advancements in AI while working with a diverse group of experts dedicated to making a difference in the tech landscape.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist, NLP (GenAI)
✨Tip Number 1
Network like a pro! Reach out to fellow researchers and professionals in the NLP field. Attend conferences, webinars, or local meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your work! Create a portfolio showcasing your research papers, projects, and any code you've open-sourced. This gives potential employers a clear view of your skills and contributions to the community.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Be ready to explain your research in simple terms, as you'll need to convey complex ideas to a diverse audience at Meta.
✨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 genuinely interested in joining our team at Meta.
We think you need these skills to ace Research Scientist, NLP (GenAI)
Some tips for your application 🫡
Show Off Your Research:Make sure to highlight your first-author publications and any high-impact research you've done. We want to see how you've contributed to the AI community, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to reflect the skills and experiences that align with our role. Mention your familiarity with deep learning frameworks and any relevant projects you've worked on.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your complex ideas are easy to understand. Remember, we’re looking for effective communication skills!
Apply Through Our Website:Don’t forget to submit your application through our official website. It’s the best way for us to receive your details and ensures you’re considered for the role!
How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.
✨Know Your Research Inside Out
Make sure you can discuss your past research and publications in detail. Be prepared to explain your methodologies, findings, and how they relate to the work at Meta. This shows your depth of knowledge and passion for the field.
✨Familiarise Yourself with GenAI
Dive into the latest advancements in Generative AI and the Llama language models. Understanding the current landscape will help you engage in meaningful discussions during the interview and demonstrate your enthusiasm for contributing to their projects.
✨Prepare for Technical Questions
Brush up on your deep learning frameworks like PyTorch or TensorFlow. Expect technical questions that assess your hands-on experience with foundation models, so be ready to share specific examples of your work and problem-solving skills.
✨Practice Your Communication Skills
Since you'll need to communicate complex ideas clearly, practice explaining your research to a non-technical audience. This will help you articulate your thoughts effectively during the interview and show that you can bridge the gap between research and application.
