At a Glance
- Tasks: Drive groundbreaking research in NLP and contribute to innovative AI projects.
- Company: Join Meta's GenAI team, a leader in AI advancements.
- Benefits: Access to cutting-edge technology, collaborative environment, and career growth opportunities.
- Other info: Work with a diverse team and influence the future of AI technology.
- Why this job: Make a real impact on AI that connects billions of users worldwide.
- Qualifications: PhD in a quantitative field and experience with AI research publications.
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) in London 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.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist, NLP (GenAI) in London
✨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 open-source contributions. This will give potential employers a clear view of your skills and impact in the AI community.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Be ready to explain your research in simple terms and discuss how it can be applied to real-world problems, especially in products like those at Meta.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about advancing AI. Your next big opportunity could be just a click away!
We think you need these skills to ace Research Scientist, NLP (GenAI) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in NLP and AI research. We want to see your first-author publications and any hands-on work with foundation models. Customising your CV for this role will help us see how you fit into our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about generative AI and how your background aligns with our goals. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through!
Showcase Your Research Impact:When detailing your research, focus on the impact of your work. Highlight any high-impact publications and how they’ve influenced the community. We’re looking for candidates who can drive progress, so make sure we see your contributions!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Meta!
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 Meta's Work
Take some time to understand Meta's current projects, especially around Generative AI and Llama models. Being able to reference their work during the interview will demonstrate your genuine interest and help you connect your experience to their goals.
✨Prepare for Technical Questions
Expect to face technical questions related to NLP, deep learning frameworks, and model training. Brush up on your coding skills and be ready to solve problems on the spot. Practising with peers or using mock interviews can really help here.
✨Showcase Your Collaboration Skills
Since the role involves working with a diverse team, be ready to discuss your experiences collaborating on research projects. Highlight any leadership roles you've taken and how you’ve contributed to team success, as this will show you’re a great fit for their interdisciplinary environment.
