At a Glance
- Tasks: Develop next-gen GenAI models for avatar creation and animation.
- Company: Leading tech firm at the forefront of AI research.
- Benefits: Competitive salary, flexible hours, and opportunities for groundbreaking research.
- Other info: Collaborative environment with a focus on innovation and career growth.
- Why this job: Join a team pushing the boundaries of technology and creativity.
- Qualifications: PhD in relevant field and experience with Python and PyTorch.
The predicted salary is between 60000 - 80000 £ per year.
Responsibilities
- Help to develop the next generation of GenAI models for avatar creation and animation.
- Harness passion for technology and propose new research roadmaps which can lead to the creation of new models that can be applied to multiple applications.
- Employ deep knowledge in the following areas: multi-modal data processing, affective computing, generative AI, and neural rendering.
- Work towards long-term ambitious research goals, while identifying intermediate milestones.
- Disseminate findings of research by publishing papers in high impact conferences and journals.
Minimum Qualifications
- PhD degree in Computer Science, Computer Engineering, Computer Graphics, Applied Sciences, Mathematics, Physics, or related field.
- Experience in Python and PyTorch.
- Track record of publishing papers in high quality journal and conferences such as CVPR, ECCV/ICCV, SIGGRAPH, NIPS.
- 1+ years of work experience in a university or industry, in a role with primary emphasis on AI research.
Preferred Qualifications
- Experience with generative AI / neural rendering models.
- Experience with affective computing and behaviour understanding.
- Experiences in the creation and processing of large audio-visual datasets.
- Experiences in solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
Research Scientist, Computer Vision & GenAI employer: Meta Platforms, Inc.
As a leading innovator in the field of artificial intelligence, our company offers Research Scientists in Computer Vision & GenAI an exceptional work environment that fosters creativity and collaboration. Located in a vibrant tech hub, we provide access to cutting-edge resources, opportunities for professional development, and a culture that values diverse perspectives and groundbreaking research. Join us to contribute to pioneering projects while enjoying a supportive atmosphere that prioritises employee growth and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist, Computer Vision & GenAI
✨Tip Number 1
Network like a pro! Reach out to fellow researchers and professionals in the field of Computer Vision and GenAI. Attend conferences, webinars, or local meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Showcase your work! Create a portfolio or a personal website where you can display your research papers, projects, and any relevant work. This gives potential employers a quick glimpse of your skills and achievements.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past research experiences and how they relate to the role you're applying for. Practice common interview questions with friends or colleagues.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive job postings that might not be listed elsewhere. Plus, it shows your genuine interest in joining our team at StudySmarter.
We think you need these skills to ace Research Scientist, Computer Vision & GenAI
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for technology and research shine through. We want to see how your passion aligns with our mission at StudySmarter, especially in areas like generative AI and neural rendering.
Tailor Your CV:Make sure your CV highlights relevant experience, especially your work with Python, PyTorch, and any publications you've contributed to. We love seeing a clear connection between your background and the role of Research Scientist in Computer Vision & GenAI.
Be Specific About Your Achievements:Don’t just list your responsibilities; share specific achievements and projects that demonstrate your expertise in multi-modal data processing and affective computing. We’re looking for concrete examples of how you’ve tackled complex problems in your previous roles.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Meta Platforms, Inc.
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and any relevant projects. Be ready to discuss your past work, especially any papers you've published. This shows your depth of knowledge and passion for the field.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in Python and PyTorch. You might be asked to solve a coding problem or discuss how you've used these tools in your previous projects. Brush up on your skills and think of examples where you’ve applied them effectively.
✨Discuss Future Research Directions
Think about potential research roadmaps you could propose that align with the company’s goals. Be ready to share innovative ideas related to generative AI and neural rendering. This shows you’re not just focused on the present but also thinking ahead.
✨Prepare for Behavioural Questions
Expect questions about how you approach complex problems and make decisions. Have examples ready that illustrate your thought process and how you weigh different solutions. This will help interviewers see your analytical skills in action.
