Research and Development Engineer

1 month ago

London, Greater London, United Kingdom Flawless AI Full time
As a key member of our 3D Reconstruction and Animation team, you will work with a talented group of researchers and scientists to develop innovative solutions for deep learning, including 3D reconstruction, monocular tracking, and animation. Our work in visual dubbing is just the beginning, and we're excited to have you join our team to tackle the most challenging problems in the field.

Responsibilities:
  • Collaborate with Researchers, Machine Learning Engineers, and Product and Engineering teams to develop and deploy scalable, responsible, cinematic quality solutions.
  • Conduct ML model training, benchmarking, testing, and deployment of multi-modal tracking, reconstruction, and animation models.
  • Create productionalized Python code using PyTorch frameworks.
  • Work with 3DMMs and statistical models for training and inference.
  • Work with 2D and 3D image and video for tracking and reconstruction.
Qualifications:
  • MS or Ph.D. student in Visual Computing, Computer Vision, Computer Graphics, 3D Vision, or related field with industry or research experience in deep learning and computer vision.
  • Extensive experience with Python, linear algebra, and numerical optimization.
  • Experience with cloud platforms such as GCP, Azure, or AWS.
  • Monocular 3D Facial Tracking.
  • Generative models for face reconstruction.
  • Experience with machine learning, deep learning, and modern 2D and 3D Vision.
  • Proficiency in applied research tasks: maintaining and versioning production code and datasets.
  • Creating metrics and benchmarking.
  • Improving the efficiency of the solution.
  • Ability to conduct proactive and independent applied research beyond expectations.
  • Experience with CV tools such as OpenCV, scikit, numpy, etc.
  • Experience with differentiable rendering pipelines such as PyTorch3D or Taichi Graphics.
  • Familiarity with 3DMM and statistical models.
  • Experience with developing machine and deep learning approaches as well as modern 2D and 3D Vision tools.
Interview Process:

At Flawless AI, we're committed to creating a safe and inclusive environment for our team members. Our interview process is designed to help you showcase your skills and experience. We'll discuss your past projects, simulate working together, and provide feedback throughout the process. Our five-round interview process includes a 30-45 minute call with our recruiting team, a 45-minute technical screen, a 1-hour live coding test, a 45-minute ML System design interview, and a 45-minute virtual interview discussing domain depth in AI/ML and deep learning architecture and techniques.

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