Senior Deep Learning Engineer
1 week ago
- Design and develop advanced machine learning algorithms and models using Python, PyTorch, and other frameworks.
- Optimize and improve existing machine learning models for scalability and performance.
- Collaborate with other engineers and researchers to create innovative solutions for computer vision and image processing tasks.
- Write clean, efficient, and well-documented code while following best practices and coding standards.
- Perform code reviews, testing, debugging, and documentation as needed.
- Developing lighting estimation algorithms in MR applications.
- Developing 3D generation algorithms in MR applications.
- Staying updated with the latest research in 3D vision and graphics, and contributing to patent writingRequirements:
- Master’s or Ph.D. degree in Computer Science, Deep Learning, Engineering, Mathematics, or a related field.
- Strong experience with Python and its ecosystems, such as PyTorch, NumPy, and Pandas.
- Experience with NeRF and Gaussian Splatting (1-2 years)
- Expertise in advanced computer vision and deep learning concepts, including convolutional neural networks (CNNs), transfer learning, and generative adversarial networks (GANs).
- Experience with GPU programming and libraries such as TinyCuda and OpenGL.
- Familiarity with Docker containerization and deployment.
- Experience with software development methodologies like Agile, Scrum, and version control tools such as Git.
- Strong communication, collaboration, and problem-solving skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Good understanding of indoor and outdoor lighting estimation algorithms (e.G., DeepLight, Lighthouse), real-time rendering algorithms like IBL and spherical harmonics lighting.
- Good understanding of the latest developments in 3D generation, experience in projects such as 2D lifting (DreamFusion), multiview diffusion (Zero123), and large-scale 3D generative models (LRM/PF-LRM).
- Publications at top conferences/journals in computer vision, computer graphics, or machine learning is a real plusPreferred Skills:
- Prior experience in building and deploying production-ready machine learning systems.
- Expertise in other areas of machine learning, such as natural language processing (NLP) and reinforcement learning.
- Experience with CI/CD pipelines and DevOps practices.
- Familiarity with cloud computing platforms like AWS, Google Cloud, or Azure.Culture-Fit:We're looking for someone who aligns with our company culture. The ideal candidate:
- Has a "can-do" mindset.
- Demonstrates honesty and integrity.
- Is always striving for excellence.
- Values providing value to our customers.
- Works well as part of a team.
- Is socially responsible.
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