At a Glance
- Tasks: Join a team pioneering generative AI research and develop innovative image/video synthesis solutions.
- Company: Meta, a leader in cutting-edge technology and AI advancements.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on creativity and innovation.
- Why this job: Make a real impact in the AI field and shape the future of technology.
- Qualifications: PhD in Computer Science or related field with a strong publication record.
The predicted salary is between 60000 - 80000 £ per year.
Meta is seeking a Research Scientist to join Monetization Generative AI (MGenAI) in London. In the past year, generative AI has seen some of the most significant breakthroughs ever achieved, particularly in large language models and generative image models. Meta Monetization GenAI’s mission is to lead the charge in generative AI technology and build products that will help businesses become more productive and efficient. The London team is particularly focused on image creative generation. Individuals in this role are expected to be recognized experts in AI and machine learning, particularly in areas such as generative AI and computer vision. The ideal candidate will have a keen interest in producing new applied science to make computers more intelligent, and more importantly convert that into production at a large scale.
Responsibilities:
- Collaborate on research that enables AI-based image/video synthesis and editing.
- Collaborate on research that enables learning the semantics of data (images, video, text, audio, and other modalities).
- Contribute research that can be applied to Meta product development.
- Influence progress of relevant research communities by producing publications.
- Collaborate and increase productivity on existing Meta AI projects as a contributing team member.
Minimum Qualifications:
- Currently has or is in the process of obtaining a PhD degree in Computer Science or related field or relevant experience.
- Track record of publications that demonstrate experience in a quantitative domain.
- Experience collaborating within a team to solve analytical problems using quantitative approaches.
- Ability to manipulate and analyze high-volume, high-dimensionality data from varying sources.
- Knowledge in a programming language.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
- First-author publications at peer-reviewed AI conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML and ICLR).
- Experience conducting original research that can be applied to Generative AI research at Meta.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
AI Research Scientist - GenAI (PhD) employer: Meta Platforms, Inc.
Meta is an exceptional employer, particularly for those passionate about advancing generative AI technology in a vibrant city like London. With a strong commitment to innovation, employees benefit from a collaborative work culture that fosters creativity and professional growth, alongside opportunities to contribute to groundbreaking research that impacts real-world applications. The company also prioritises inclusivity and support for all employees, ensuring a rewarding and meaningful work experience.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Scientist - GenAI (PhD)
✨Network Like a Pro
Get out there and connect with folks in the AI and machine learning community. Attend meetups, conferences, or webinars where you can chat with industry experts and potential colleagues. Remember, it’s not just about what you know, but who you know!
✨Show Off Your Work
Create a portfolio showcasing your research and projects, especially those related to generative AI and computer vision. Share your publications and any cool projects on platforms like GitHub or personal websites. This gives potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your knowledge of AI concepts and algorithms. Practice explaining your research and how it applies to real-world problems. Don’t forget to show your passion for generative AI – it can really set you apart!
✨Apply Through Our Website
When you find a role that excites you, apply directly 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 AI Research Scientist - GenAI (PhD)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of AI Research Scientist. Highlight your PhD work, publications, and any relevant experience in generative AI and computer vision. We want to see how your background aligns with our mission at Meta!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for generative AI and how you can contribute to our team. Be sure to mention specific projects or research that excite you about working with us at Meta.
Showcase Your Publications:If you've got first-author publications, flaunt them! Include links or references in your application to demonstrate your expertise in AI and machine learning. We love seeing candidates who are active in the research community.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensure it gets into the right hands. Plus, it shows you’re serious about joining our team at Meta.
How to prepare for a job interview at Meta Platforms, Inc.
✨Know Your Generative AI Stuff
Make sure you brush up on the latest breakthroughs in generative AI, especially in large language models and image generation. Be ready to discuss your own research and how it aligns with Meta's mission in this space.
✨Show Off Your Collaboration Skills
Since this role involves teamwork, prepare examples of how you've successfully collaborated on research projects. Highlight your ability to solve analytical problems as part of a team, and be ready to discuss specific challenges you faced and how you overcame them.
✨Bring Your Publications to the Table
If you have first-author publications, especially in top-tier AI conferences, make sure to mention them. Discuss the impact of your work and how it relates to the role at Meta, showcasing your expertise in the field.
✨Get Technical with Programming
Be prepared to talk about your programming skills and how you've used them to manipulate and analyse high-volume data. Brush up on relevant programming languages and think of examples where your coding skills made a difference in your research.
