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 resources, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with a diverse team in a dynamic, interdisciplinary environment.
- Why this job: Make a real impact by shaping the future of AI and connecting billions of users.
- Qualifications: PhD in a quantitative field and experience with AI research and publications.
The predicted salary is between 60000 - 80000 £ per year.
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 Language Research to join our EMEA sites and work with us on extending the capabilities of large foundation models.
Researchers will drive impact by:
- open sourcing high quality code and reproducible results for the community,
- bringing the latest research to Facebook products for connecting billions of users,
- pushing for state-of-the-art research and publishing papers and technical reports.
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, technical reports, and open source code.
- 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, ICCV, CVPR), 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.
AI Research Scientist, Language - Generative AI in London employer: Meta Platforms, Inc.
Meta is an exceptional employer for AI Research Scientists, offering a dynamic work culture that fosters innovation and collaboration. With access to cutting-edge technology and resources, employees are encouraged to pursue ambitious research goals while contributing to impactful projects that connect billions of users. The diverse and interdisciplinary team environment promotes continuous learning and growth, making it an ideal place for researchers looking to make significant contributions in the field of Generative AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Scientist, Language - Generative AI in London
✨Tip Number 1
Network like a pro! Reach out to fellow researchers and professionals in the AI field. Attend conferences, webinars, or local meetups to connect with others who share your passion for generative AI. You never know who might have a lead on your dream job!
✨Tip Number 2
Showcase your work! Create a personal website or GitHub profile where you can display your research, publications, and any open-source projects you've contributed to. This not only highlights your skills but also makes it easier for potential employers to see what you bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining your research and technical concepts in simple terms. Remember, you’ll be working with a diverse team, so being able to convey complex ideas clearly is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure to submit your application directly to us for the best chance of landing that role.
We think you need these skills to ace AI Research Scientist, Language - Generative AI in London
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 the role. We love seeing candidates who take the time to connect their background with what we're looking for.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your ideas come across without unnecessary jargon or fluff.
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 ensure you’re considered for the role.
How to prepare for a job interview at Meta Platforms, Inc.
✨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 Generative AI
Brush up on the latest advancements in generative AI and the Llama language models specifically. Understanding the current landscape will help you engage in meaningful discussions during the interview and demonstrate your enthusiasm for the role.
✨Prepare for Technical Questions
Expect technical questions related to deep learning frameworks like PyTorch or TensorFlow. Practise explaining complex concepts clearly and concisely, as you'll need to communicate effectively with both technical and non-technical audiences.
✨Showcase Collaboration Skills
Since the role involves working with a diverse team, be ready to share examples of past collaborations. Highlight how you've worked with others to achieve research goals, and emphasise your ability to lead and contribute to interdisciplinary projects.
