Deep Learning Engineer

Position Summary

As a Deep Learning Engineer, you will be responsible for developing and implementing advanced algorithms using deep learning techniques, generative AI, and computer vision to generate 3D animations from 2D images. Collaborating with a multidisciplinary team of researchers, engineers, and artists, you will design innovative solutions to meet project requirements. Staying abreast of the latest advancements in deep learning, generative AI, and computer vision will be crucial to your success in this role.



Responsibilities:
  • Develop and implement cutting-edge algorithms utilizing deep learning, generative AI, and computer vision to generate 3D animations from 2D images.
  • Collaborate closely with researchers, engineers, and artists to understand project requirements and design innovative solutions.
  • Stay updated with the latest advancements in the fields of deep learning, generative AI, and computer vision through research and continuous learning.
  • Optimize algorithms for efficiency and scalability, considering real-time and interactive animation generation applications.
  • Evaluate and benchmark different models and techniques, iteratively improving algorithm performance and output quality.
  • Document research findings, methodologies, and algorithm specifications for internal use and potential publication.
  • Collaborate with the software engineering team to seamlessly integrate developed algorithms into production systems or applications.


Qualifications:
  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, or a related field.
  • Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow or PyTorch.
  • Solid understanding of machine learning principles and algorithms, particularly in image processing and computer vision.
  • Proficiency in working with 3D graphics libraries and tools, such as OpenGL or Unity3D.
  • Familiarity with generative AI models, including GANs (Generative Adversarial Networks) or VAEs (Variational Autoencoders).
  • Strong problem-solving and analytical thinking abilities, coupled with a passion for pushing the boundaries of AI and animation.
  • Excellent communication and teamwork skills, enabling effective collaboration within a multidisciplinary environment.


This role requires individuals who are highly skilled in deep learning techniques, possess a strong foundation in computer science and AI, and are adept at collaborating with diverse teams. By leveraging your expertise and staying ahead of the latest advancements, you will contribute to the development of innovative solutions and advance the field of AI-driven animation.