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Internship

Research Scientist - Internship - Innovation

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Flawless

3mo ago

🚀 Off-cycle Internship

Santa Monica

AI generated summary

  • The ideal candidate for this Research Scientist - Internship - Innovation position should be enrolled in a Ph.D. program in visual computing or related disciplines, with strong math, optimization, and computer graphics skills. They should have experience in implementing top-tier conference methods in computer vision/graphics and deep learning, as well as familiarity with neural volume rendering, audio-driven facial animation, and 3D tracking techniques. Proficiency in DL frameworks like PyTorch and excellent coding skills in Python are also necessary. Preferred qualifications include a demonstrated publication record at top-tier conferences, experience in 3D face tracking and talking head synthesis, audio-driven facial animation, and advanced computer graphics techniques like differentiable rendering and shadow modeling, among others.
  • The research scientist intern will collaborate with a team of experts to tackle complex problems in generative neural rendering and audio driven facial animation, working towards creating video-based 3D avatars. They will be part of groundbreaking research and contribute to the development of innovative products.

Off-cycle Internship

Research & Development, Software EngineeringSanta Monica

Description

  • Flawless is looking for smart, self-motivated, and committed Research Interns to join our research team in both the UK, Soho, London office as well as Los Angeles, US. Our interns are given challenging research problems and are provided with a clear project plan during the course of the internship. At Flawless, we want interns to succeed, and we have high expectations for performance, either by advancing the state of the art or bringing unique scientific value to our business.

Requirements

  • Qualifications:
  • Be enrolled in a Ph.D. program in visual computing, 3D Vision, or related disciplines.
  • Have a strong background in math, numerical optimization, and computer graphics.
  • Ability to conduct independent research (literature review and prototyping) with minimum supervision
  • Have research experience demonstrated through implementing methods from top-tier conferences in computer vision/graphics, and deep learning.
  • Be familiar with neural volume rendering, audio driven facial animation and/or 3D tracking techniques
  • Have extensive experience with DL frameworks such as PyTorch, or tensorflow
  • Excellent coding skills in Python
  • Preferred Qualifications:
  • Research experience with demonstrated publication record at top-tier conferences in computer vision/graphics, and deep learning such as ICCV, CVPR, and SIGGRAPH.
  • Extensive experience with neural volume rendering and 3D tracking techniques, especially in 3D face tracking and talking head synthesis from 2D video
  • Experience in Audio Driven Facial Animation
  • Multi-View, Multi-modal image synthesis and editing
  • Hands-on experience with NeRF and SDF-based reconstruction techniques
  • Familiarity with advanced computer graphics techniques such as inverse/differentiable rendering, physics-based rendering, intrinsic image decomposition, and shadow modeling
  • Experience with differentiable renderers, such as PyTorch3D, Mitsuba2, or TensorFlow Graphic

Education requirements

Currently Studying
PhD

Area of Responsibilities

Research & Development
Software Engineering

Responsibilities

  • As a research scientist intern in the innovation team at Flawless, you will work with a close-knit, passionate group of world-class researchers and scientists to tackle some of the most challenging problems in generative neural rendering, audio driven facial animation, including video-based 3D avatar generation in-the-wild. Our work in visual dubbing is just the tip of the iceberg, we’re developing countless exciting products based on our cornerstone research. This is an unbelievable opportunity to be on the cutting edge of the generative revolution.

Details

Work type

Full time

Work mode

hybrid

Location

Santa Monica