GenAI & Computer Vision Research Scientist: Avatar AI

GenAI & Computer Vision Research Scientist: Avatar AI

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Meta Platforms, Inc.

At a Glance

  • Tasks: Develop next-gen GenAI models for avatar creation and animation.
  • Company: Leading tech firm focused on innovative AI research.
  • Benefits: Competitive salary, research opportunities, and a collaborative environment.
  • Other info: Exciting career growth with opportunities to publish in top conferences.
  • Why this job: Join a cutting-edge team and shape the future of avatar technology.
  • Qualifications: PhD in relevant field and experience in Python and PyTorch.

The predicted salary is between 60000 - 80000 £ per year.

Research Scientist, Computer Vision & GenAI 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.

GenAI & Computer Vision Research Scientist: Avatar AI employer: Meta Platforms, Inc.

Join a pioneering team at the forefront of technology, where your expertise in GenAI and computer vision will directly contribute to groundbreaking advancements in avatar creation and animation. Our collaborative work culture fosters innovation and encourages continuous learning, providing ample opportunities for professional growth through research publications and participation in high-impact conferences. Located in a vibrant tech hub, we offer a dynamic environment that values creativity and ambition, making it an ideal place for passionate researchers to thrive.

Meta Platforms, Inc.

Contact Details:

Meta Platforms, Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land GenAI & Computer Vision Research Scientist: Avatar AI

Tip Number 1

Network like a pro! Reach out to folks in your field on LinkedIn or at conferences. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to GenAI and computer vision. We love seeing practical applications of your knowledge, so make sure to highlight any relevant work you've done.

Tip Number 3

Prepare for interviews by brushing up on your technical skills and research topics. We recommend practising common interview questions and discussing your past projects. This will help you articulate your experience and passion for the field.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate individuals ready to push the boundaries of AI research.

We think you need these skills to ace GenAI & Computer Vision Research Scientist: Avatar AI

GenAI
Computer Vision
Multi-modal Data Processing
Affective Computing
Neural Rendering
Python
PyTorch

Some tips for your application 🫡

Show Your Passion:When writing your application, let your enthusiasm for GenAI and computer vision shine through. We want to see how your passion aligns with our mission to develop cutting-edge models for avatar creation and animation.

Highlight Relevant Experience:Make sure to showcase your experience in Python, PyTorch, and any relevant research you've done. If you've published papers in high-impact conferences, give us the details! This is your chance to show us what you’ve accomplished.

Tailor Your Application:Don’t just send a generic application. Tailor your CV and cover letter to reflect the specific qualifications and responsibilities mentioned in the job description. We love seeing candidates who take the time to connect their skills to our needs.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re serious about joining the StudySmarter team!

How to prepare for a job interview at Meta Platforms, Inc.

Know Your Research Inside Out

Make sure you can discuss your previous research projects in detail, especially those related to generative AI and computer vision. Be prepared to explain your methodologies, findings, and how they relate to the role you're applying for.

Showcase Your Technical Skills

Brush up on your Python and PyTorch skills before the interview. You might be asked to solve a technical problem or discuss your coding experience, so having specific examples ready will help demonstrate your expertise.

Prepare for Deep-Dive Questions

Expect questions that dig deep into your understanding of multi-modal data processing and affective computing. Think about how you would approach complex problems and be ready to discuss your thought process and decision-making.

Highlight Your Publication Experience

Since publishing in high-impact conferences is crucial, be ready to talk about your papers. Discuss the challenges you faced during the research and how you overcame them, as well as the impact your work has had on the field.